Search
  • All Journals
Advanced Search
Search articles by Title, Author, Keywords, DOI
Submit Manuscript
7.7CiteScore
2.0Impact Factor
Advanced Search
MAP  >  The Knowledge Engineering Review
2018 Volume 33
Article Contents
Next Previous
ORIGINAL RESEARCH   Open Access    

Answer set programming and agents

  • Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica

More Information
  • Abstract: In this paper, we discuss the potential role of answer set programming (ASP) in the context of approaches to the development of agents and multi-agent systems especially in the realm of Computational Logic. After shortly recalling the main (computational-logic-based) agent-oriented frameworks, we introduce ASP; then, we discuss the usefulness of a potential integration of the two paradigms in a modular heterogeneous framework, and the feasibility of such integration. This also in the more general view of improving and empowering flexibility of agent-oriented frameworks. Relevant literature will be mentioned and discussed. Possible future directions and potential developments will be outlined.
  • 加载中
  • Aielli F., Ancona D., Caianiello P., Costantini S., De Gasperis G., Marco A. D., Ferrando A. & Mascardi V. 2016. FRIENDLY & KIND with your health: human-friendly knowledge-intensive dynamic systems for the e-health domain. In ‘PAAMS (Workshops)’, Communications in Computer and Information Science, 616, 15–26. Springer.

    Google Scholar

    Akbari O. Z. 2010. A survey of agent-oriented software engineering paradigm: towards its industrial acceptance. Journal of Computer Engineering Research 1(2), 14–28.

    Google Scholar

    Alviano M., Faber W., Greco G. & Leone N. 2012. Magic sets for disjunctive datalog programs. Artificial Intelligence 187, 156–192.

    Google Scholar

    Ambros-Ingerson J. A. & Steel S. 1988. Integrating planning, execution and monitoring. In Proceedings of the 7th National Conference on Artificial Intelligence, 83–88, August 21–26.

    Google Scholar

    Amendola G., Greco G., Leone N. & Veltri P. 2016. Modeling and reasoning about NTU games via answer set programming. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, 38–45. IJCAI/AAAI Press, July 9–15.

    Google Scholar

    Anderson J. R. & Lebiere C. 1998. The Atomic Components of Thought. Lawrence Erlbaum Associates.

    Google Scholar

    Answer Set Programming Solvers 2016. Available at http://assat.cs.ust.hk; http://www.cs.utexas.edu/users/tag/ccalc/; https://potassco.org/clasp/; http://www.cs.utexas.edu/users/tag/cmodels/; http://www.cs.uky.edu/ai/; http://www.dlvsystem.com/dlv/; http://www.tcs.hut.fi/Software/smodels/

    Google Scholar

    Apt K. R. & Bol R. N. 1994. Logic programming and negation: a survey. Journal of Logic Programming 19/20, 9–72.

    Google Scholar

    Aschinger M., Drescher C., Friedrich G., Gottlob G., Jeavons P., Ryabokon A. & Thorstensen E. 2011. Optimization methods for the partner units problem. In Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems - 8th International Conference, CPAIOR 2011. Proceedings, T. Achterberg and J. C. Beck (eds), ‘Lecture Notes in Computer Science 6697, 4–19. Springer.

    Google Scholar

    Baldoni M., Baroglio C., Mascardi V., Omicini A. & Torroni P. 2010. Agents, multi-agent systems and declarative programming: what, when, where, why, who, how? In A 25-Year Perspective on Logic Programming, Dovier, A. & Pontelli, E. (eds). Springer-Verlag, 204–230.

    Google Scholar

    Balduccini M. 2007a. Learning action descriptions with a-prolog: action language c. In AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, AAAI, Technical Report SS-07-05, 13–18.

    Google Scholar

    Balduccini M. 2007b. Modules and signature declarations for a-prolog: progress report. In Workshop on Software Engineering for Answer Set Programming (SEA’07), 41–55.

    Google Scholar

    Balduccini M. & Gelfond M. 2003. Diagnostic reasoning with a-prolog. Theory and Practice of Logic Programming 3(4), 425–461.

    Google Scholar

    Balduccini M. & Gelfond M. 2008. The AAA architecture: an overview. In Architectures for Intelligent Theory-Based Agents, Papers from the 2008 AAAI Spring Symposium, Technical Report SS-08-02, 1–6. AAAI, March 26–28.

    Google Scholar

    Balduccini M., Gelfond M. & Nogueira M. 2006. Answer set based design of knowledge systems. Annals of Mathematics and Artificial Intelligence 47(1–2), 183–219.

    Google Scholar

    Balduccini M., Regli W. C. & Nguyen D. N. 2014. An ASP-based architecture for autonomous UAVs in dynamic environments: Progress report, CoRR abs/1405.1124.

    Google Scholar

    Baral C. 2003. Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press.

    Google Scholar

    Baral C., Dzifcak J. & Takahashi H. 2006. Macros, macro calls and use of ensembles in modular answer set programming. In Logic Programming, 376–390. Springer.

    Google Scholar

    Baral C., Gelfond G., Son T. C. & Pontelli E. 2010. Using answer set programming to model multi-agent scenarios involving agents’ knowledge about other’s knowledge. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1, 259–266. International Foundation for Autonomous Agents and Multiagent Systems.

    Google Scholar

    Baral C. & Gelfond M. 2000. Reasoning agents in dynamic domains. In Logic-Based Artificial Intelligence, van der Hoek, W., Kaminka, G. A., Lespérance, Y., Luck, M. & Sen, S. (eds). Springer, 257–279.

    Google Scholar

    Bauer B., Müller J. P. & Odell J. 2001. Agent UML: a formalism for specifying multiagent software systems. International Journal of Software Engineering and Knowledge Engineering 11(3), 207–230.

    Google Scholar

    Bauters K. 2011a. Modeling coalition formation using multi-focused answer sets. In Proceedings of ESSLLI, 11, 25–33.

    Google Scholar

    Bauters K. 2011b. Modeling negotiation using multi-focused answer sets. In 2011 European Summer School in Logic, Language and Information (ESSLLI 2011): Student session, 25–33.

    Google Scholar

    Bauters K., Janssen J., Schockaert S., De Cock M. & Vermeir D. 2010. Communicating answer set programs. In 26th International Conference of Logic Programming (ICLP 2010), 7, 34–43. Schloss Dagstuhl–Leibniz-Zentrum für Informatik.

    Google Scholar

    Bauters K., Schockaert S., Janssen J., Vermeir D. & De Cock M. 2013. Expressiveness of communication in answer set programming. Theory and Practice of Logic Programming 13(3), 361–394.

    Google Scholar

    Belardinelli F., Lomuscio A. & Patrizi F. 2014. Verification of agent-based artifact systems. Journal of Artificial Intelligence Research 51, 333–376.

    Google Scholar

    Blount J., Gelfond M. & Balduccini M. 2015. A theory of intentions for intelligent agents - (extended abstract). In Proceedings of the 13th International Conference on Logic Programming and Nonmonotonic Reasoning LPNMR 2015, Lecture Notes in Computer Science 9345, 134–142. Springer.

    Google Scholar

    Borchert P., Anger C., Schaub T. & Truszczynski M. 2004. Towards systematic benchmarking in answer set programming: the dagstuhl initiative. In Proceedings of the International Conference on Logic Programming and Nonmonotonic Reasoning LPNMR 2004, Lecture Notes in Computer Science 2923, 3–7. Springer.

    Google Scholar

    Bordini R. H., Braubach L., Dastani M., Fallah-Seghrouchni A. E., Gómez-Sanz J. J., Leite J., O’Hare G. M. P., Pokahr A. & Ricci A. 2006. A survey of programming languages and platforms for multi-agent systems. Informatica (Slovenia) 30(1), 33–44.

    Google Scholar

    Bordini R. H. & Hübner J. F. 2006. BDI agent programming in AgentSpeak using Jason (tutorial paper). In Computational Logic in Multi-Agent Systems, 6th International Workshop, CLIMA VI, Revised Selected and Invited Papers, F. Toni and P. Torroni (eds), LNCS 3900. Springer, 143–164.

    Google Scholar

    Bordini R. H., Hübner J. F. & Wooldridge M. 2007. Programming Multi-Agent Systems in AgentSpeak Using Jason. John Wiley & Sons. Wiley Series in Agent Technology.

    Google Scholar

    Börger E. & Stärk R. F. 2003. Abstract State Machines. A Method for High-Level System Design and Analysis. Springer.

    Google Scholar

    Bracciali A., Demetriou N., Endriss U., Kakas A., Lu W., Mancarella P., Sadri F., Stathis K., Terreni G. & Toni F. 2005. The KGP model of agency: computational model and prototype implementation. In Global Computing: IST/FET Intl. Workshop, Revised Selected Papers, LNAI 3267, Springer-Verlag, 340–367.

    Google Scholar

    Bratman M. E. 1999. Intention, Plans, and Practical Reason. Cambridge University Press.

    Google Scholar

    Bratman M. E., Israel D. J. & Pollack M. E. 1988. Plans and resource-bounded practical reasoning. Computational Intelligence 4(3), 349–355.

    Google Scholar

    Brewka G., Eiter T. & Fink M. 2011a. Nonmonotonic multi-context systems: a flexible approach for integrating heterogeneous knowledge sources. In Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning - Essays Dedicated to Michael Gelfond on the Occasion of His 65th Birthday, M. Balduccini and T. C. Son (eds), Lecture Notes in Computer Science 6565. Springer, 233–258.

    Google Scholar

    Brewka G., Eiter T., Fink M. & Weinzierl A. 2011b. Managed multi-context systems. In IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, T. Walsh (ed.), 786–791. IJCAI/AAAI.

    Google Scholar

    Brewka G., Ellmauthaler S. & Pührer J. 2014. Multi-context systems for reactive reasoning in dynamic environments. In ECAI 2014, Proceedings of the 21st European Conference on Artificial Intelligence, T. Schaub (ed.), 159–164. IJCAI/AAAI.

    Google Scholar

    Brogi A., Mancarella P., Pedreschi D. & Turini F. 1994. Modular logic programming. ACM Transactions on Programming Languages and Systems (TOPLAS) 16(4), 1361–1398.

    Google Scholar

    Brooks D. R., Erdem E., Erdogan S. T., Minett J. W. & Ringe D. 2007. Inferring phylogenetic trees using answer set programming. Journal of Automated Reasoning 39(4), 471–511.

    Google Scholar

    Brooks R. A. 1986. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation 2(1), 14–23.

    Google Scholar

    Brustoloni J. C. 1991. Autonomous Agents: Characterization and Requirements, Technical report, Carnegie Mellon University.

    Google Scholar

    Buccafurri F. & Caminiti G. 2005. A social semantics for multi-agent systems. In Logic Programming and Nonmonotonic Reasoning, 317–329. Springer.

    Google Scholar

    Buccafurri F. & Gottlob G. 2002. Multiagent compromises, joint fixpoints, and stable models. In Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I, A. C. Kakas and F. Sadri (eds), Lecture Notes in Computer Science 2407, 561–585. Springer.

    Google Scholar

    Bugliesi M., Lamma E. & Mello P. 1994. Modularity in logic programming. The Journal of Logic Programming, Elsevier 19, 443–502.

    Google Scholar

    Castellucci A., Ianni G., Vasile D. & Costa S. 2001. Searching and surfing the web using a semi-adaptive meta-engine. In 2001 International Symposium on Information Technology (ITCC 2001), 416–420. IEEE Computer Society, April 2–4.

    Google Scholar

    Cliffe O., De Vos M. & Padget J. 2006. Answer set programming for representing and reasoning about virtual institutions. In Computational Logic in Multi-Agent Systems, 60–79. Springer.

    Google Scholar

    Coen M. H. 1994. Sodabot: a software agent environment and construction system. In Proceedings of the 12th National Conference on Artificial Intelligence, Volume 2, 1433. AAAI Press/MIT Press.

    Google Scholar

    Cohen P. R., Greenberg M. L., Hart D. M. & Howe A. E. 1989. Trial by fire: understanding the design requirements for agents in complex environments. AI Magazine 10(3), 32–48.

    Google Scholar

    Cortés U., Tolchinsky P., Nieves J., López-Navidad A. & Caballero F. 2005. Arguing the discard of organs for tranplantation in CARREL In CATAI 2005, 93–105.

    Google Scholar

    Costantini S. 1995. Contributions to the stable model semantics of logic programs with negation. Theoretical Computer Science 149(2), 231–255.

    Google Scholar

    Costantini S. 2006. On the existence of stable models of non-stratified logic programs. Theory and Practice of Logic Programming 6(1–2), 169–212.

    Google Scholar

    Costantini S. 2011. Answer set modules for logical agents. In Datalog Reloaded - First International Workshop, Datalog 2010. Revised Selected Papers, O. de Moor, G. Gottlob, T. Furche and A. J. Sellers (eds), Lecture Notes in Computer Science 6702, 37–58. Springer.

    Google Scholar

    Costantini S. 2015a. ACE: a flexible environment for complex event processing in logical agents. In Engineering Multi-Agent Systems, Third International Workshop, EMAS 2015, Revised Selected Papers, M. Baldoni, L. Baresi and M. Dastani (eds), Lecture Notes in Computer Science 9318, 70–91. Springer.

    Google Scholar

    Costantini S. 2015b. Knowledge acquisition via non-monotonic reasoning in distributed heterogeneous environments. In Proceedings of the 13th International Conference on Logic Programming and Nonmonotonic Reasoning LPNMR 2015, M. Truszczyński, G. Ianni and F. Calimeri, (eds), Lecture Notes in Computer Science 9345, 228–241. Springer.

    Google Scholar

    Costantini S., D’Antona O. M. & Provetti A. 2002. On the equivalence and range of applicability of graph-based representations of logic programs. Information Processing Letters 84(5), 241–249.

    Google Scholar

    Costantini S., De Gasperis G. & Nazzicone G. 2017. DALI for cognitive robotics: principles and prototype implementation. In Practical Aspects of Declarative Languages - 19th International Symposium, Proceedings, Y. Lierler and W. Taha (eds), Lecture Notes in Computer Science 10137, 152–162. Springer.

    Google Scholar

    Costantini S. & De Gasperis G. 2015. Exchanging data and ontological definitions in multi-agent-contexts systems. In Challenge+DC@RuleML, CEUR Workshop Proceedings 1417. CEUR-WS.org.

    Google Scholar

    Costantini S., De Gasperis G. & Nazzicone G. 2015. Exploration of unknown territory via DALI agents and ASP modules. In Distributed Computing and Artificial Intelligence, 12th International Conference, DCAI 2015, S. Omatu, Q. M. Malluhi, S. Rodríguez-González, G. Bocewicz, E. Bucciarelli, G. Giulioni and F. Iqba (eds), Advances in Intelligent Systems and Computing 373, 285–292. Springer.

    Google Scholar

    Costantini S., De Gasperis G., Pitoni V. & Salutari A. 2017. DALI: a multi agent system framework for the web, cognitive robotic and complex event processing. In Proceedings of the 32nd Italian Conference on Computational Logic, CEUR Workshop Proceedings 1949, 286–300. CEUR-WS.org. http://ceur-ws.org/Vol-1949/CILCpaper05.pdf

    Google Scholar

    Costantini S. & Formisano A. 2010. Answer set programming with resources. Journal of Logic and Computation 20(2), 533–571.

    Google Scholar

    Costantini S. & Formisano A. 2011. Weight constraints with preferences in ASP. In Proceedings of the 11th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2011), Lecture Notes in Computer Science 6645. Springer.

    Google Scholar

    Costantini S. & Formisano A. 2013. ‘RASP and ASP as a fragment of linear logic’. Journal of Applied Non-Classical Logics 23(1–2), 49–74.

    Google Scholar

    Costantini S. & Formisano A. 2016. Augmenting agent computational environments with quantitative reasoning modules and customizable bridge rules. In Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, - Visionary Papers, Revised Selected Papers, Lecture Notes in Computer Science 10003, 104–121.

    Google Scholar

    Costantini S., Formisano A. & Petturiti D. 2010. Extending and implementing RASP. Fundamenta Informaticae. 105(1–2), 1–33.

    Google Scholar

    Costantini S. & Tocchio A. 2002. A logic programming language for multi-agent systems. In Logics in Artificial Intelligence, Proceedings of the 8th European Conference, JELIA 2002, LNAI 2424, 1–13. Springer-Verlag.

    Google Scholar

    Costantini S. & Tocchio A. 2004. The DALI logic programming agent-oriented language. In Logics in Artificial Intelligence, Proceedings of the 9th European Conference, Jelia 2004, LNAI 3229, 685–688. Springer-Verlag.

    Google Scholar

    Costantini S. & Tocchio A. 2005. Learning by knowledge exchange in logical agents. In WOA 2005: Dagli Oggetti agli Agenti. 6th AI*IA/TABOO Joint Workshop “From Objects to Agents”: Simulation and Formal Analysis of Complex Systems, F. D. Paoli, E. Merelli and A. Omicini (eds). Pitagora Editrice Bologna, 1–8.

    Google Scholar

    Costantini S. & Tocchio A. 2008. DALI: an architecture for intelligent logical agents. In AAAI Spring Symposium: Emotion, Personality, and Social Behavior, 13–18. AAAI.

    Google Scholar

    Dantsin E., Eiter T., Gottlob G. & Voronkov A. 2001. Complexity and expressive power of logic programming. ACM Computing Surveys 33(3), 374–425.

    Google Scholar

    Dao-Tran M., Eiter T., Fink M. & Krennwallner T. 2009. Modular nonmonotonic logic programming revisited. In Logic Programming, 145–159. Springer.

    Google Scholar

    Dastani M. 2008. 2APL: a practical agent programming language, Autonomous Agents and Multi-Agent Systems 16(3), 214–248.

    Google Scholar

    Dastani M. 2015. Programming multi-agent systems. Knowledge Engineering Review 30(4), 394–418.

    Google Scholar

    Dastani M., van Birna Riemsdijk M. & Meyer J.-J. C. 2005. Programming multi-agent systems in 3APL. In Multi-Agent Programming, 39–67. Springer.

    Google Scholar

    Dastani M., Van Riemsdijk M. B., Hulstijn J., Dignum F. & Meyer J.-J. C. 2004. Enacting and deacting roles in agent programming. In Agent-oriented software engineering V, 189–204. Springer.

    Google Scholar

    De Gasperis G., Costantini S. & Nazzicone G. 2014. Dali multi agent systems framework, doi 10.5281/zenodo.11042, DALI GitHub Software Repository. DALI. http://github.com/AAAI-DISIM-UnivAQ/DALI

    Google Scholar

    De Vos M., Cliffe O., Watson R., Crick T., Padget J. A., Needham J. & Brain M. 2005. T-laima: answer set programming for modelling agents with trust. In EUMAS, Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten, 126–136.

    Google Scholar

    De Vos M. & Vermeir D. 2004. Extending answer sets for logic programming agents. Annals of Mathematics and Artificial Intelligence, Springer 42(1–3), 103–139.

    Google Scholar

    d’Inverno M., Hindriks K. & Luck M. 2000. A formal architecture for the 3APL agent programming language. In ZB 2000: Formal Specification and Development in Z and B, First International Conference of B and Z Users, York, UK, August 29 - September 2, 2000, Proceedings, 168–187. Springer.

    Google Scholar

    d’Inverno M. & Luck M. 1998. Engineering agentspeak (l): a formal computational model. Journal of Logic and Computation 8(3), 233–260.

    Google Scholar

    Dix J., Eiter T., Kraus S., Ozcan F. & Subrahmanian V. S. 2000. Heterogeneous agent systems. The MIT Press.

    Google Scholar

    Duch W., Oentaryo R. J. & Pasquier M. 2008. Cognitive architectures: Where do we go from here? In AGI Conference, 171, 122–136. IOS Press.

    Google Scholar

    Dung P. M. 1995. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artificial Intelligence 77(2), 321–358.

    Google Scholar

    Eiter T., Gottlob G. & Veith H. 1997. Modular logic programming and generalized quantifiers. In Logic Programming and Nonmonotonic Reasoning, 289–308. Springer.

    Google Scholar

    Erdem E., Aker E. & Patoglu V. 2012. Answer set programming for collaborative housekeeping robotics: representation, reasoning, and execution. Intelligent Service Robotics 5(4), 275–291.

    Google Scholar

    Erdem E., Erdem Y., Erdogan H. & Öztok U. 2011. Finding answers and generating explanations for complex biomedical queries. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, W. Burgard and D. Roth, (eds). AAAI Press, August 7–11.

    Google Scholar

    Erdem E., Gelfond M. & Leone N. 2016. Applications of answer set programming. AI Magazine 37(3), 53–68.

    Google Scholar

    Erdem E. & Öztok U. 2015. Generating explanations for biomedical queries. Theory and Practice of Logic Programming 15(1), 35–78.

    Google Scholar

    Erdem E., Patoglu V. & Saribatur Z. G. 2015. Integrating hybrid diagnostic reasoning in plan execution monitoring for cognitive factories with multiple robots. In IEEE International Conference on Robotics and Automation, ICRA 2015, 2007–2013. IEEE, May 26–30.

    Google Scholar

    Erdem E., Patoglu V., Saribatur Z. G., Schüller P. & Uras T. 2013. ‘Finding optimal plans for multiple teams of robots through a mediator: a logic-based approach’. Theory and Practice of Logic Programming 13(4–5), 831–846.

    Google Scholar

    Etzioni O., Lesh N. & Segal R. 1994. Building Softbots for Unix (Preliminary Report). Technical report. AAAI Press.

    Google Scholar

    Faber W., Greco G. & Leone N. 2007. Magic sets and their application to data integration. Journal of Computer and System Sciences 73(4), 584–609.

    Google Scholar

    Faber W. & Woltran S. 2009. Manifold answer-set programs for meta-reasoning. In Logic Programming and Nonmonotonic Reasoning, 115–128. Springer.

    Google Scholar

    Febbraro O., Leone N., Grasso G. & Ricca F. 2012. JASP: a framework for integrating answer set programming with java. In Principles of Knowledge Representation and Reasoning: Proceedings of the Thirteenth International Conference, KR 2012. AAAI Press, June 10–14.

    Google Scholar

    Febbraro O., Reale K. & Ricca F. 2011. ASPIDE: integrated development environment for answer set programming. In Logic Programming and Nonmonotonic Reasoning, 317–330. Springer.

    Google Scholar

    Ferguson I. A. 1992. Touring machines: autonomous agents with attitudes. IEEE Computer 25(5), 51–55.

    Google Scholar

    Fikes R. E. & Nilsson N. J. 1971. STRIPS: a new approach to the application of theorem proving to problem solving. Artificial intelligence 2(3–4), 189–208.

    Google Scholar

    Fisher M. 1994. A survey of concurrent METATEM the language and its applications. In Temporal Logic 480–505. Springer.

    Google Scholar

    Fisher M. 1998. Representing abstract agent architectures. In Intelligent Agents V: Agents Theories, Architectures, and Languages, 227–241. Springer.

    Google Scholar

    Fisher M., Bordini R. H., Hirsch B. & Torroni P. 2007. Computational logics and agents: a road map of current technologies and future trends. Computational Intelligence Journal 23(1), 61–91.

    Google Scholar

    Formisano A. & Petturiti D. 2010. RASP and P-RASP: an implementation. http://www.dmi.unipg.it/formis/raspberry/

    Google Scholar

    Franklin S. & Graesser A. C. 1996. Is it an agent, or just a program?: A taxonomy for autonomous agents. In Intelligent Agents III, Agent Theories, Architectures, and Languages, ECAI ’96 Workshop (ATAL), Budapest, Hungary, August 12-13, 1996, Proceedings, 21–35. Springer.

    Google Scholar

    Friedrich G., Fugini M., Mussi E., Pernici B. & Tagni G. 2010. Exception handling for repair in service-based processes. IEEE Transactions on Software Engineering 36(2), 198–215.

    Google Scholar

    Friedrich G., Ryabokon A., Falkner A. A., Haselböck A., Schenner G. & Schreiner H. 2011. (Re)configuration based on model generation. In Proceedings Second Workshop on Logics for Component Configuration, LoCoCo 2011, C. Drescher, I. Lynce and R. Treinen (eds), EPTCS 65, 26–35, September 12.

    Google Scholar

    Gaifman H. & Shapiro E. 1989. Fully abstract compositional semantics for logic programs. In Proceedings of the 16th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 134–142. ACM.

    Google Scholar

    Gallucci L. & Ricca F. 2007. Visual querying and application programming interface for an ASP-based ontology language. Proceedings of SEA 7, 56–70.

    Google Scholar

    Gebser M., Schaub T., Thiele S. & Veber P. 2011. Detecting inconsistencies in large biological networks with answer set programming. Theory and Practice of Logic Programming 11(2–3), 323–360.

    Google Scholar

    Gelfond M. 2004. Answer set programming and the design of deliberative agents. In Logic Programming, Proceedings of the 20th International Conference, ICLP 2004, B. Demoen and V. Lifschitz (eds), Lecture Notes in Computer Science 3132, 19–26. Springer.

    Google Scholar

    Gelfond M. 2008. Answer sets. In Handbook of Knowledge Representation. Chapter 7, van Harmelen F., Lifschitz V. & Porter B. W. (eds). Foundations of Artificial Intelligence 3, 285–316. Elsevier.

    Google Scholar

    Gelfond M. & Kahl Y. 2014. Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach. Cambridge University Press.

    Google Scholar

    Gelfond M. & Lifschitz V. 1988. The stable model semantics for logic programming. In Proceedings of the 5th International Conference and Symposium on Logic Programming, R. Kowalski and K. Bowen (eds), 1070–1080. MIT Press.

    Google Scholar

    Gelfond M. & Lifschitz V. 1991. Classical negation in logic programs and disjunctive databases. New Generation Computing 9, 365–385.

    Google Scholar

    Gelfond M. & Lifschitz V. 1998. Action languages. Electronic Transactions on Artificial Intelligence 2, 193–210.

    Google Scholar

    Georgeff M., Pell B., Pollack M., Tambe M. & Wooldridge M. 1998. The belief-desire-intention model of agency. In Intelligent Agents V: Agents Theories, Architectures, and Languages, 5th International Workshop, ATAL ’98, Paris, France, July 4-7, 1998, Proceedings, 1–10. Springer.

    Google Scholar

    Gero J. S. & Peng W. 2009. Understanding behaviors of a constructive memory agent: a Markov chain analysis. Knowledge-Based Systems 22(8), 610–621.

    Google Scholar

    Giordano L. & Martelli A. 1994. Structuring logic programs: a modal approach. The Journal of Logic Programming 21(2), 59–94.

    Google Scholar

    Giunchiglia E., Lee J., Lifschitz V., McCain N. & Turner H. 2004. Nonmonotonic causal theories. Artificial Intelligence 153(1), 49–104.

    Google Scholar

    Gonçalves R., Knorr M. & Leite J. 2014. Evolving bridge rules in evolving multi-context systems. In Computational Logic in Multi-Agent Systems - 15th International Workshop, CLIMA XV. Proceedings, N. Bulling, L. W. N. van der Torre, S. Villata, W. Jamroga and W. W. Vasconcelos (eds), 52–69.

    Google Scholar

    Grasso G., Leone N. & Ricca F. 2013. Answer set programming: language, applications and development tools. In Web Reasoning and Rule Systems - 7th International Conference, RR 2013, Proceedings, W. Faber and D. Lembo (eds), Lecture Notes in Computer Science 7994. Springer.

    Google Scholar

    Greco G. & Terracina G. 2013. Frequency-based similarity for parameterized sequences: formal framework, algorithms, and applications. Information Science 237, 176–195.

    Google Scholar

    Havur G., Ozbilgin G., Erdem E. & Patoglu V. 2014. Geometric rearrangement of multiple movable objects on cluttered surfaces: a hybrid reasoning approach. In 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, 445–452. IEEE, May 31 to June 7.

    Google Scholar

    Hindriks K. 2008. Modules as policy-based intentions: modular agent programming in GOAL. In Proceedings of the 5th International Conference on Programming Multi-agent Systems ProMAS07, 156–171. Springer.http://dl.acm.org/citation.cfm?id=1793534.1793546

    Google Scholar

    Hindriks K. V., De Boer F. S., Van der Hoek W. & Meyer J.-J. C. 1999. Agent programming in 3APL, Autonomous Agents and Multi-Agent Systems 2(4): 357–401.

    Google Scholar

    Hindriks K. V., De Boer F. S., Van Der Hoek W. & Meyer J.-J. C. 2000. Agent programming with declarative goals. In Intelligent Agents VII, Agent Theories Architectures and Languages, 228–243. Springer.

    Google Scholar

    Hübner J. F., Sichman J. S. & Boissier O. 2007. Developing organised multiagent systems using the MOISE. IJAOSE 1(3/4), 370–395.

    Google Scholar

    Ianni G. 2001. Intelligent anticipated exploration of web sites. AI Communications 14(4), 197–214.

    Google Scholar

    Ianni G., Calimeri F., Lio V. & Galizia S. 2003. Reasoning about the semantic web using answer set programming. In Proceedings of the 2003 Joint Conference on Declarative Programming, AGP-2003, F. Buccafurri (ed.), 324–336.

    Google Scholar

    Ianni G., Ielpa G., Pietramala A., Santoro M. C. & Calimeri F. 2004. Enhancing answer set programming with templates. In 10th International Workshop on Non-Monotonic Reasoning (NMR 2004), Proceedings, 233–239.

    Google Scholar

    JADE website 2016. Available at http://jade.tilab.com/

    Google Scholar

    Janhunen T., Oikarinen E., Tompits H. & Woltran S. 2009. Modularity aspects of disjunctive stable models. Journal of Artificial Intelligence Research 35, 813–857.

    Google Scholar

    Jennings N. R. 1993. Specification and implementation of a belief-desire-joint-intention architecture for collaborative problem solving. International Journal of Intelligent and Cooperative Information Systems, World Scientific 2(3), 289–318.

    Google Scholar

    Jennings N. R., Sycara K. & Wooldridge M. 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems 1(1), 7–38.

    Google Scholar

    Juneidi S. J. & Vouros G. A. 2004. Survey and evaluation of agent oriented software engineering. In IASTED International Conference on Software Engineering, part of the 22nd Multi-Conference on Applied Informatics, 2004, M. H. Hamza (ed.), 433–440. IASTED/ACTA Press.

    Google Scholar

    Kaelbling L. P. 1991. A situated-automata approach to the design of embedded agents. SIGART Bulletin 2(4), 85–88.

    Google Scholar

    Kakas A. C., Mancarella P., Sadri F., Stathis K. & Toni F. 2004. The KGP model of agency. In Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI 2004, R. L. de Mántaras and L. Saitta (eds), 33–37. IOS Press.

    Google Scholar

    Kautz H. A. & Selman B. 1992. Planning as satisfiability. In ECAI, 359–363.

    Google Scholar

    Keil F. 1989. Concepts, Kinds, and Cognitive Development. The MIT Press.

    Google Scholar

    Khaitan S. K. & McCalley J. D. 2015. Design techniques and applications of cyberphysical systems: a survey. IEEE Systems Journal 9(2), 350–365.

    Google Scholar

    Kinny D., Georgeff M. P. & Rao A. S. 1996. A methodology and modelling technique for systems of BDI agents. In Agents Breaking Away, 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Proceedings, W. V. de Velde and J. W. Perram (eds), Lecture Notes in Computer Science 1038, 56–71. Springer.

    Google Scholar

    Kouvaros P. & Lomuscio A. 2016. Parameterised verification for multi-agent systems. Artificial Intelligence. 234, 152–189.

    Google Scholar

    Kowalski R. & Sadri F. 1996. Towards a unified agent architecture that combines rationality with reactivity. In Logic in Databases, Lecture Notes in Computer Science 1154, 135–149. Springer.

    Google Scholar

    Laird J. 2012. The SOAR Cognitive Architecture. MIT Press.

    Google Scholar

    Laird J. E. 2008. Extending the SOAR cognitive architecture. In Proceedings of the First Artificial General Intelligence Conference, 224–235.

    Google Scholar

    Laird J. E., Newell A. & Rosenbloom P. S. 1987. Soar: an architecture for general intelligence. Artificial Intelligence 33(1), 1–64.

    Google Scholar

    Langley P. 2005. An adaptive architecture for physical agents. In The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 2005. Proceedings, 18–25. IEEE.

    Google Scholar

    Langley P., Laird J. E. & Rogers S. 2009. Cognitive architectures: research issues and challenges. Cognitive Systems Research 10(2), 141–160.

    Google Scholar

    Leite J.-A. 2003. Evolving knowledge bases: specification and semantics, Frontiers in Artificial Intelligence and Applications, 81. IOS Press.

    Google Scholar

    Leite J., Alferes J. J. & Mito B. 2009. Resource allocation with answer-set programming. In 8th International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2009, Proceedings, C. Sierra and C. Castelfranchi and K. S. Decker and J. Simão Sichman (eds), 649–656. IFAAMAS.

    Google Scholar

    Leite J. A., Alferes J. J. & Pereira L. M. 2001. MINERVA - a dynamic logic programming agent architecture. In Intelligent Agents VIII, 8th International Workshop, ATAL 2001, Revised Papers, J. C. Meyer and M. Tambe, (eds), Lecture Notes in Computer Science 2333, 141–157. Springer.

    Google Scholar

    Leone N. 2007. Logic programming and nonmonotonic reasoning: from theory to systems and applications. In Proceedings of the 11th International Conference on Logic Programming and Nonmonotonic Reasoning LPNMR 2007, Lecture Notes in Computer Science 4483, 1. Springer.

    Google Scholar

    Leone N. & Ricca F. 2015. Answer set programming: a tour from the basics to advanced development tools and industrial applications. In Reasoning Web. Web Logic Rules - 11th International Summer School 2015, Tutorial Lectures, W. Faber and A. Paschke, (eds), Lecture Notes in Computer Science 9203, 308–326. Springer.

    Google Scholar

    Lierler Y. & Truszczyński M. 2013. Modular answer set solving, Late-Breaking Developments in the Field of Artificial Intelligence, WS-13-17. AAAI Press.

    Google Scholar

    Lifschitz V. 1999. Action languages, answer sets, and planning. In The Logic Programming Paradigm, 357–373. Springer.

    Google Scholar

    Lifschitz V. & Ren W. 2006. A modular action description language. In Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, 6, 853–859. AAAI Press.

    Google Scholar

    Lifschitz V. & Turner H. 1994. Splitting a logic program. In Logic Programming, Proceedings of the Eleventh International Conference on Logic Programming, P. V. Hentenryck (ed.), 23–37. MIT Press.

    Google Scholar

    Lindström P. 1966. First order predicate logic with generalized quantifiers. Theoria, Wiley Online Library 32(3), 186–195.

    Google Scholar

    Lloyd J. W. 1987. Foundations of Logic Programming, 2nd Edition. Springer.

    Google Scholar

    Maes P. 1991. The agent network architecture (ANA). SIGART Bulletin 2(4), 115–120.

    Google Scholar

    Maes P. 1993. Modeling adaptive autonomous agents. Artificial Life 1(1–2), 135–162.

    Google Scholar

    Mancarella P. & Pedreschi D. 1988. An algebra of logic programs. In Logic Programming, Proceedings of the Fifth International Conference and Symposium, 1006–1023. MIT Press.

    Google Scholar

    Manna M., Scarcello F. & Leone N. 2011. On the complexity of regular-grammars with integer attributes. Journal of Computer and System Sciences 77(2), 393–421.

    Google Scholar

    Maratea M., Pulina L. & Ricca F. 2015. Multi-level algorithm selection for ASP. In Proceedings of the Logic Programming and Nonmonotonic Reasoning - 13th International Conference, LPNMR 2015, Lecture Notes in Computer Science 9345, 439–445. Springer.

    Google Scholar

    Marek V. W. & Truszczyński M. 1999. Stable models and an alternative logic programming paradigm. In The Logic Programming Paradigm, 375–398. Springer.

    Google Scholar

    Mascardi V., Demergasso D. & Ancona D. 2005. Languages for programming BDI-style agents: an overview. In WOA 2005: Dagli Oggetti agli Agenti. 6th AI*IA/TABOO Joint Workshop “From Objects to Agents”: Simulation and Formal Analysis of Complex Systems, F. D. Paoli, E. Merelli and A. Omicini (eds), 9–15. Pitagora Editrice Bologna.

    Google Scholar

    Mascardi V., Martelli M. & Sterling L. 2004. Logic-based specification languages for intelligent software agents. Theory and Practice of Logic Programming 4(4), 429–494.

    Google Scholar

    Meyer B. 1990. Introduction to the Theory of Programming Languages. Prentice Hall.

    Google Scholar

    Meyer D. E. & Kieras D. E. 1997. A computational theory of executive cognitive processes and multiple-task performance: part I. basic mechanisms. Psychological Review 104(1), 3.

    Google Scholar

    Miller D. 1986. A theory of modules for logic programming. In SLP, 106–114. IEEE-CS.

    Google Scholar

    Moore R. C. 1985. Semantical considerations on nonmonotonic logic. Artificial Intelligence 25(1), 75–94.

    Google Scholar

    Mostowski A. 1957. On a generalization of quantifiers. Fundamenta Mathematicae 44(1), 12–36.

    Google Scholar

    Müller J. P. & Pischel M. 1994. An architecture for dynamically interacting agents. International Journal of Cooperative Information Systems 3(1), 25–46.

    Google Scholar

    Nam T. H. & Baral C. 2009. Hypothesizing about signaling networks. Journal of Applied Logic 7(3), 253–274.

    Google Scholar

    Neches R., Langley P. & Klahr D. 1987. Learning, Development, and Production Systems. The MIT Press.

    Google Scholar

    Newell A. 1973. Production systems: models of control structures. In Visual Information Processing, 463–526. Elsevier.

    Google Scholar

    Newell A. 1990. Unified Theories of Cognition. Harvard University Press.

    Google Scholar

    Niemelä I. 1999. Logic programs with stable model semantics as a constraint programming paradigm. Annals of Mathematics and Artificial Intelligence 25(3–4), 241–273.

    Google Scholar

    Nogueira M., Balduccini M., Gelfond M., Watson R. & Barry M. 2001. An A prolog decision support system for the space shuttle. In Answer Set Programming, Towards Efficient and Scalable Knowledge Representation and Reasoning, Proceedings of the 1st Intl. ASP’01 Workshop, A. Provetti and T. C. Son (eds).

    Google Scholar

    Novák P. 2008. An Open Agent Architecture: Fundamentals. Technical Report No. IfI-07-10, Department of Informatics, Clausthal University of Technology (November 2007).

    Google Scholar

    Novák P. 2009. Jazzyk: a programming language for hybrid agents with heterogeneous knowledge representations. In Programming Multi-Agent Systems, 6th International Workshop, ProMAS 2008. Revised Invited and Selected Papers, K. V. Hindriks, A. Pokahr and S. Sardiña (eds), Lecture Notes in Computer Science 5442, 72–87. Springer.

    Google Scholar

    Novák P. & Dix J. 2008. Adding structure to agent programming languages. In Programming Multi-Agent Systems, 5th International Workshop, ProMAS 2007, Honolulu, HI, USA, May 15, 2007, Revised and Invited Papers, M. Dastani, A. E. Fallah-Seghrouchni, A. Ricci and M. Winikoff (eds), Lecture Notes in Computer Science 4908, 140–155. Springer.

    Google Scholar

    Oikarinen E. 2008. Modularity in Answer Set Programs. PhD thesis, Helsinki University of Technology.

    Google Scholar

    O’Keefe R. A. 1985. Towards an algebra for constructing logic programs. In Proceedings of the 1985 Symposium on Logic Programming, 152–160. IEEE-CS.

    Google Scholar

    Omicini A. 2001. SODA: societies and infrastructures in the analysis and design of agent-based systems. In Agent-Oriented Software Engineering, First International Workshop, AOSE 2000, Revised Papers, P. Ciancarini and M. Wooldridge (eds), Lecture Notes in Computer Science 1957, 185–193. Springer.

    Google Scholar

    Osorio M., Zepeda C., Nieves J. C. & Cortés U. 2005. Inferring acceptable arguments with answer set programming. In Sixth Mexican International Conference on Computer Science (ENC) 2005), I198–205. EEE Computer Society.

    Google Scholar

    Petrie C. J. 1996. Agent-based engineering, the web, and intelligence. IEEE Expert 11(6), 24–29.

    Google Scholar

    Pokahr A., Braubach L. & Lamersdorf W. 2005. Jadex: a BDI reasoning engine. In Multi-Agent Programming: Languages, Platforms and Applications, R. H. Bordini, M. Dastani, J. Dix and A. E. Fallah-Seghrouchni (eds), Multiagent Systems, Artificial Societies, and Simulated Organizations 15, 149–174. Springer.

    Google Scholar

    Przymusinski T. C. 1988. On the declarative semantics of deductive databases and logic programs. In Foundations of Deductive Databases and Logic Programming, 193–216. Morgan Kaufmann.

    Google Scholar

    Pylyshyn Z. W. 1990. Computation and Cognition. Bradford/MIT Press.

    Google Scholar

    Rao A. S. 1996. AgentSpeak (L): BDI agents speak out in a logical computable language. In Agents Breaking Away, 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Proceedings, 42–55. Springer.

    Google Scholar

    Rao A. S. & Georgeff M. 1991. Modeling rational agents within a BDI-architecture. In Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning (KR’91), 473–484. Morgan Kaufmann.

    Google Scholar

    Rao A. S. & Georgeff M. 1995. BDI agents: from theory to practice. in Proceedings of the First International Conference on Multiagent Systems ICMAS95, V. R. Lesser and L. Gasser (eds), 312–319. The MIT Press.

    Google Scholar

    Reiter R. 1980. A logic for default reasoning. Artificial intelligence 13(1), 81–132.

    Google Scholar

    Ricca F. 2003. The DLV java wrapper. In APPIA-GULP-PRODE, 263–274. Citeseer.

    Google Scholar

    Ricca F., Dimasi A., Grasso G., Ielpa S. M., Iiritano S., Manna M. & Leone N. 2010. A logic-based system for e-tourism. Fundamenta Informaticae 105(1–2), 35–55.

    Google Scholar

    Ricca F., Grasso G., Alviano M., Manna M., Lio V., Iiritano S. & Leone N. 2012. Team-building with answer set programming in the Gioia-Tauro seaport. Theory and Practice of Logic Programming 12(3), 361–381.

    Google Scholar

    Ricci A., Viroli M. & Omicini A. 2007. CArtAgO: a framework for prototyping artifact-based environments in MAS. In Environments for Multi-Agent Systems III, Third International Workshop, E4MAS 2006, Selected Revised and Invited Papers, D. Weyns, H. Van Dyke Parunak and F. Michel (eds), LNCS 4389, 67–86. Springer.

    Google Scholar

    Rogers T. J., Ross R. & Subrahmanian V. 2000. Impact: a system for building agent applications. Journal of Intelligent Information Systems 14(2–3), 95–113.

    Google Scholar

    R.Thomas S. 1993. PLACA, An Agent Oriented Programming Language. PhD thesis, Computer Science Department, Stanford University. Available as Technical Report STAN-CS-93-1487.

    Google Scholar

    Samsonovich A. V. 2010. Toward a unified catalog of implemented cognitive architectures. BICA 221, 195–244.

    Google Scholar

    Shardlow N. 1990. Action and Agency in Cognitive Science, Master’s thesis, Department of Psycology, University of Manchester.

    Google Scholar

    Shoham Y. 1993. Agent-oriented programming. Artificial Intelligence 60(1), 51–92.

    Google Scholar

    Sloman A. & Logan B. 1998. Architectures and tools for human-like agents. In Proceedings of the 2nd European Conference on Cognitive Modelling, 58, 65. University of Nottingham Press.

    Google Scholar

    SOAR-Research-Group 2010. SOAR: a comparison with rule-based systems. http://sitemaker.umich.edu/soar/home

    Google Scholar

    Son T. C., Pontelli E., Gelfond M. & Balduccini M. 2016. An answer set programming framework for reasoning about truthfulness of statements by agents. In Technical Communications of the 32nd International Conference on Logic Programming, ICLP 2016, OASICS 52, 8:1–8:4. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.

    Google Scholar

    Sridharan M. 2016. Towards an architecture for representation, reasoning and learning in human-robot collaboration. In 2016 AAAI Spring Symposium Series.

    Google Scholar

    Tari L., Baral C. & Anwar S. 2005. A language for modular answer set programming: application to ACC tournament scheduling. In Answer Set Programming, Advances in Theory and Implementation, Proceedings of the 3rd International ASP’05 Workshop, CEUR Workshop Proceedings 142, CEUR-WS.org.

    Google Scholar

    Tiihonen J., Soininen T., Niemelä I. & Sulonen R. 2003. A practical tool for mass-customising configurable products. In DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design.

    Google Scholar

    Togelius J. 2003. Evolution of the Layers in a Subsumption Architecture Robot Controller, Master’s thesis, University of Sussex.

    Google Scholar

    Torroni P. 2004. Computational logic in multi-agent systems: recent advances and future directions. Annals of Mathematics and Artificial Intelligence 42(1–3), 293–305.

    Google Scholar

    Truszczyński M. 2007. Logic programming for knowledge representation. In Logic Programming, 76–88. Springer.

    Google Scholar

    Van Nieuwenborgh D., De Vos M., Heymans S. & Vermeir D. 2006. Hierarchical decision making in multi-agent systems using answer set programming. In Computational Logic in Multi-Agent Systems, 20–40. Springer.

    Google Scholar

    van Riemsdijk M. B., Dastani M., Meyer J.-J. C. & de Boer F. S. 2006. Goal-oriented modularity in agent programming. In 5th International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2006, 1271–1278. ACM Press.

    Google Scholar

    Vere S. & Bickmore T. 1990. A basic agent. Computational Intelligence 6(1), 41–60.

    Google Scholar

    Wood M. F. & DeLoach S. A. 2001. An overview of the multiagent systems engineering methodology. In Agent-Oriented Software Engineering, First International Workshop, AOSE 2000, Revised Papers, P. Ciancarini and M. Wooldridge (eds), Lecture Notes in Computer Science 1957, 207–222. Springer.

    Google Scholar

    Wood S. 1993. Planning and Decision-Making in Dynamic Domains. Ellis Horwood Series in Artificial Intelligence.

    Google Scholar

    Wooldridge M. 1997. Agent-based software engineering. IEEE Proceedings on Software Engineering 144(1), 26–37.

    Google Scholar

    Wooldridge M. 1999. Multiagent systems. In Multiagent Systems, G. Weiss, (ed.), chapter on Intelligent Agents, 27–77. MIT Press. http://dl.acm.org/citation.cfm?id=305606.305607

    Google Scholar

    Wooldridge M. J. 2000. Reasoning About Rational Agents. MIT Press.

    Google Scholar

    Wooldridge M. & Jennings N. R. 1994. Agent theories, architectures, and languages: a survey In Intelligent Agents, ECAI-94 Workshop on Agent Theories, Architectures, and Languages, Proceedings, 1–39. Springer.

    Google Scholar

    Wooldridge M., Jennings N. R. & Kinny D. 2000. The Gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems 3(3), 285–312.

    Google Scholar

    Wooldridge M. & Jennings N. R. 1995. Intelligent agents: theory and practice. Knowledge Engineering Review 10(2), 115–152.

    Google Scholar

    Zhang S., Sridharan M. & Wyatt J. L. 2015. Mixed logical inference and probabilistic planning for robots in unreliable worlds. IEEE Transaction on Robotics 31(3), 699–713.

    Google Scholar

    Zlog n.d. www.exeura.eu/en/solution/customer-profiling

    Google Scholar

  • Cite this article

    Abeer Dyoub, Stefania Costantini, Giovanni De Gasperis. 2018. Answer set programming and agents. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000164
    Abeer Dyoub, Stefania Costantini, Giovanni De Gasperis. 2018. Answer set programming and agents. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000164
    shu
Download PDF

Article Metrics

Article views(44) PDF downloads(65)

Other Articles By Authors

ORIGINAL RESEARCH   Open Access    

Answer set programming and agents

  • Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica

  • Published online: 05 November 2018
The Knowledge Engineering Review  33,  2018, 33(1)  |  Cite this article

Abstract: Abstract: In this paper, we discuss the potential role of answer set programming (ASP) in the context of approaches to the development of agents and multi-agent systems especially in the realm of Computational Logic. After shortly recalling the main (computational-logic-based) agent-oriented frameworks, we introduce ASP; then, we discuss the usefulness of a potential integration of the two paradigms in a modular heterogeneous framework, and the feasibility of such integration. This also in the more general view of improving and empowering flexibility of agent-oriented frameworks. Relevant literature will be mentioned and discussed. Possible future directions and potential developments will be outlined.

    HTML

    Acknowledgments

    • Abeer Dyoub acknowledges support by the Project ‘Machine Ethics for Cybersecurity’ of the Department of Information Engineering, Computer Science and Mathematics of the University of L’Aquila. The authors wish to thank the anonymous reviewers for the useful comments and advice.

    • By ‘minimal model of program Π’ we mean a minimal model of Π intended as a classical first-order logic theory, where ← is intended as implication, the comma as conjunction, and not as negation in classical logic terms.

    • For lack of space we cannot discuss the—very important—issue of verification of agents and MAS; the reader may refer to Belardinelli et al. (2014), Kouvaros and Lomuscio (2016), and to the references therein.

    Rights and permissions
    • © Cambridge University Press, 2018 2018Cambridge University Press
References (223)
  • About this article
    Cite this article
    Abeer Dyoub, Stefania Costantini, Giovanni De Gasperis. 2018. Answer set programming and agents. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000164
    Abeer Dyoub, Stefania Costantini, Giovanni De Gasperis. 2018. Answer set programming and agents. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000164
    shu

    • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return