doi:10.1017/S0269888921000011

Adadi , A. & Berrada , M. 2018. Peeking inside the black-box: a survey on explainable artificial intelligence (xai). IEEE Access 6, 52138–52160.

Al-Abdulkarim , L., Atkinson , K. & Bench-Capon , T. 2016a. A methodology for designing systems to reason with legal cases using abstract dialectical frameworks. Artificial Intelligence and Law 24(1), 1–49.

Al-Abdulkarim , L., Atkinson , K. & Bench-Capon , T. 2016b. Statement Types in Legal Argument. IOS Press.

Al-Abdulkarim , L., Atkinson , K. & Bench-Capon , T. J. 2016c. Angelic secrets: bridging from factors to facts in us trade secrets. In JURIX, 113–118.

Al-Abdulkarim , L., Atkinson , K., Bench-Capon , T., Whittle , S., Williams , R. & Wolfenden , C. 2019. Noise induced hearing loss: building an application using the angelic methodology. Argument & Computation 10(1), 5–22.

Aleven , V. A. 1997. Teaching Case-Based Argumentation Through a Model and Examples. Citeseer.

Almpani , S. & Stefaneas , P. S. 2017. On proving and argumentation. In AIC, 72–84.

Amgoud , L. & Cayrol , C. 2002a. Inferring from inconsistency in preference-based argumentation frameworks. Journal of Automated Reasoning 29(2), 125–169.

Amgoud , L. & Cayrol , C. 2002b. A reasoning model based on the production of acceptable arguments. Annals of Mathematics and Artificial Intelligence 34(1–3), 197–215.

Amgoud , L., Cayrol , C., Lagasquie-Schiex , M.-C. & Livet , P. 2008. On bipolarity in argumentation frameworks. International Journal of Intelligent Systems 23(10), 1062–1093.

Amgoud , L. & Prade , H. 2006. Explaining qualitative decision under uncertainty by argumentation. In Proceedings of the National Conference on Artificial Intelligence, 21, 219. AAAI Press, MIT Press, 1999.

Amgoud , L. & Prade , H. 2009. Using arguments for making and explaining decisions. Artificial Intelligence 173(3–4), 413–436.

Amgoud , L. & Serrurier , M. 2007. Arguing and explaining classifications. In International Workshop on Argumentation in Multi-Agent Systems, 164–177, Springer.

Amgoud , L. & Serrurier , M. 2008. Agents that argue and explain classifications. Autonomous Agents and Multi-Agent Systems 16(2), 187–209.

Anjomshoae , S., Najjar , A., Calvaresi , D. & Främling , K. 2019. Explainable agents and robots: results from a systematic literature review. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 1078–1088. International Foundation for Autonomous Agents and Multiagent Systems.

Antaki , C. & Leudar , I. 1992. Explaining in conversation: towards an argument model. European Journal of Social Psychology 22(2), 181–194.

Arioua , A., Tamani , N., Croitoru , M. & Buche , P. 2014. Query failure explanation in inconsistent knowledge bases: a dialogical approach. In International Conference on Innovative Techniques and Applications of Artificial Intelligence, 119–133. Springer.

Atkinson , K. & Bench-Capon , T. 2007a. Action-based alternating transition systems for arguments about action. In AAAI, 7, 24–29.

Atkinson , K. & Bench-Capon , T. 2007b. Practical reasoning as presumptive argumentation using action based alternating transition systems. Artificial Intelligence 171(10–15), 855–874.

Atkinson , K. & Bench-Capon , T. 2018. Taking account of the actions of others in value-based reasoning. Artificial Intelligence 254, 1–20.

Atkinson , K., Bench-Capon , T. & Bollegala , D. 2020. Explanation in ai and law: past, present and future. Artificial Intelligence, 103387.

Atkinson , K., Bench-Capon , T. J. & McBurney , P. 2005a. Multi-agent argumentation for edemocracy. In EUMAS, 35–46.

Atkinson , K., Bench-Capon , T. & Mcburney , P. 2005b. A dialogue game protocol for multi-agent argument over proposals for action. Autonomous Agents and Multi-Agent Systems 11(2), 153–171.

Atkinson , K. M., Bench-Capon , T. J., Cartwright , D. & Wyner , A. Z. 2011. Semantic models for policy deliberation. In Proceedings of the 13th International Conference on Artificial Intelligence and Law, 81–90.

Azhar , M. Q. & Sklar , E. I. 2016. Analysis of empirical results on argumentation-based dialogue to support shared decision making in a human-robot team. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 861–866. IEEE.

Azhar , M. Q. & Sklar , E. I. 2017. A study measuring the impact of shared decision making in a human-robot team. The International Journal of Robotics Research 36(5–7), 461–482.

Bandara , A. K., Kakas , A. C., Lupu , E. C. & Russo , A. 2009. Using argumentation logic for firewall configuration management. In 2009 IFIP/IEEE International Symposium on Integrated Network Management, 180–187. IEEE.

Bandara , A. K., Kakas , A., Lupu , E. C. & Russo , A. 2006. Using argumentation logic for firewall policy specification and analysis. In International Workshop on Distributed Systems: Operations and Management, 185–196. Springer.

Baroni , P., Borsato , S., Rago , A. & Toni , F. 2018. The “games of argumentation” web platform. In COMMA, 447–448.

Baroni , P., Caminada , M. & Giacomin , M. 2011. An introduction to argumentation semantics. Knowledge Engineering Review 26(4), 365.

Baroni , P., Rago , A. & Toni , F. 2018. How many properties do we need for gradual argumentation? In Thirty-Second AAAI Conference on Artificial Intelligence.

Baroni , P., Romano , M., Toni , F., Aurisicchio , M. & Bertanza , G. 2015. Automatic evaluation of design alternatives with quantitative argumentation. Argument & Computation 6(1), 24–49.

Bassiliades , N., Spanoudakis , N. I. & Kakas , A. C. 2018. Towards multipolicy argumentation. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1–10.

Bench-Capon , T. 2002. Value based argumentation frameworks. arXiv preprint cs/0207059.

Bench-Capon , T., Atkinson , K. & Chorley , A. 2005. Persuasion and value in legal argument. Journal of Logic and Computation 15(6), 1075–1097.

Bench-Capon , T. J. 1998. Specification and implementation of toulmin dialogue game. In Proceedings of JURIX, 98, 5–20.

Bench-Capon , T. J. 2003a. Persuasion in practical argument using value-based argumentation frameworks. Journal of Logic and Computation 13(3), 429–448.

Bench-Capon , T. J. 2003b. Try to see it my way: modelling persuasion in legal discourse. Artificial Intelligence and Law 11(4), 271–287.

Bench-Capon , T. J. 2020. Before and after dung: argumentation in ai and law. Argument & Computation (Preprint), 1–18.

Bench-Capon , T. J. M., Geldard , T. & Leng , P. H. 2000. A method for the computational modelling of dialectical argument with dialogue games. Artificial Intelligence and Law 8(2–3), 233–254.

Besnard , P. & Hunter , A. 2001. A logic-based theory of deductive arguments. Artificial Intelligence 128(1–2), 203–235.

Besnard , P. & Hunter , A. 2008. Elements of Argumentation, 47. MIT Press.

Besnard , P. & Hunter , A. 2009. Argumentation based on classical logic. In Argumentation in Artificial Intelligence, 133–152. Springer.

Betz , G., Hamann , M., Mchedlidze , T. & von Schmettow , S. 2019. Applying argumentation to structure and visualize multi-dimensional opinion spaces. Argument & Computation 10(1), 23–40.

Bex , F., Bench-Capon , T. J. & Verheij , B. 2011. What makes a story plausible? the need for precedents. In JURIX, 23–32.

Bex , F., Budzynska , K. & Walton , D. 2012. Argumentation and explanation in the context of dialogue. Explanation-aware Computing ExaCt 2012 9, 6.

Bex , F., Lawrence , J., Snaith , M. & Reed , C. 2013. Implementing the argument web. Communications of the ACM 56(10), 66–73.

Bex , F., Prakken , H. & Reed , C. 2010. A formal analysis of the AIF in terms of the ASPIC framework. In COMMA, 99–110.

Bex , F. & Walton , D. 2016. Combining explanation and argumentation in dialogue. Argument & Computation 7(1), 55–68.

Biere , A., Heule , M. & van Maaren , H. 2009. Handbook of Satisfiability, 185. IOS Press.

Bikakis , A. & Antoniou , G. 2010. Defeasible contextual reasoning with arguments in ambient intelligence. IEEE Transactions on Knowledge and Data Engineering 22(11), 1492–1506.

Bistarelli , S., Pirolandi , D. & Santini , F. 2009. Solving weighted argumentation frameworks with soft constraints. In International Workshop on Constraint Solving and Constraint Logic Programming, 1–18. Springer.

Black , E. & Atkinson , K. 2011. Choosing persuasive arguments for action. In The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 3, 905–912. International Foundation for Autonomous Agents and Multiagent Systems.

Boltužić , F. & Šnajder , J. 2014a. Back up your stance: recognizing arguments in online discussions. In Proceedings of the First Workshop on Argumentation Mining, 49–58. Association for Computational Linguistics. http://www.aclweb.org/anthology/W14-2107.

Boltužić , F. & Šnajder , J. 2014b. Back up your stance: recognizing arguments in online discussions. In Proceedings of the First Workshop on Argumentation Mining, 49–58.

Boltužić , F. & Šnajder , J. 2015. Identifying prominent arguments in online debates using semantic textual similarity. In Proceedings of the 2nd Workshop on Argumentation Mining, 110–115.

Bonacina , M. P. 2017. Automated reasoning for explainable artificial intelligence. In ARCADE@ CADE, 24–28.

Bonzon , E., Delobelle , J., Konieczny , S. & Maudet , N. 2016. A comparative study of ranking-based semantics for abstract argumentation. In Proceedings of the AAAI Conference on Artificial Intelligence, 30.

Botschen , T., Sorokin , D. & Gurevych , I. 2018. Frame-and entity-based knowledge for common-sense argumentative reasoning. In Proceedings of the 5th Workshop on Argument Mining, 90–96.

Burgemeestre , B., Hulstijn , J. & Tan , Y.-H. 2011. Value-based argumentation for justifying compliance. Artificial Intelligence and Law 19(2–3), 149.

Buvac , S. & Mason , I. A. 1993. Propositional logic of context. In AAAI, 412–419.

Caminada , M. 2008. A gentle introduction to argumentation semantics. Lecture Material, Summer.

Caminada , M., Sá , S., Alcântara , J. & Dvoǎák , W. 2015. On the equivalence between logic programming semantics and argumentation semantics. International Journal of Approximate Reasoning 58, 87–111.

Cartwright , D. & Atkinson , K. 2009. Using computational argumentation to support e-participation. IEEE Intelligent Systems 24(5), 42–52.

Carvalho , D. V., Pereira , E. M. & Cardoso , J. S. 2019. Machine learning interpretability: a survey on methods and metrics. Electronics 8(8), 832.

Cayrol , C. & Lagasquie-Schiex , M.-C. 2005. On the acceptability of arguments in bipolar argumentation frameworks. In European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 378–389. Springer.

Cerutti , F., Giacomin , M. & Vallati , M. 2019. How we designed winning algorithms for abstract argumentation and which insight we attained. Artificial Intelligence 276, 1–40.

Chapman , M., Balatsoukas , P., Ashworth , M., Curcin , V., Kökciyan , N., Essers , K., Sassoon , I., Modgil , S., Parsons , S. & Sklar , E. I. 2019. Computational argumentation-based clinical decision support. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2345–2347. International Foundation for Autonomous Agents and Multiagent Systems.

Charwat , G., Dvoǎák , W., Gaggl , S. A., Wallner , J. P. & Woltran , S. 2015. Methods for solving reasoning problems in abstract argumentation–a survey. Artificial Intelligence 220, 28–63.

Chesnevar , C., McGinnis , J., Modgil , S., Rahwan , I., Reed , C., Simari , G., South , M., Vreeswijk , G. & Willmott , S. 2006. Towards an argument interchange format. The Knowledge Engineering Review 21(4), 293–316.

Choo , J. & Liu , S. 2018. Visual analytics for explainable deep learning. IEEE Computer Graphics and Applications 38(4), 84–92.

Ciatto , G., Calvaresi , D., Schumacher , M. I. & Omicini , A. 2015. An Abstract Framework for Agent-Based Explanations in AI. Springer.

Clark , C. E. 1919. Eisner v Macomber and some income tax problems. Yale LJ 29, 735.

Cocarascu , O., Čyras , K. & Toni , F. 2018. Explanatory predictions with artificial neural networks and argumentation. In Proceedings of the 2nd Workshop on Explainable Artificial Intelligence (XAI 2018).

Cocarascu , O. & Toni , F. 2016. Argumentation for machine learning: a survey. In COMMA, 219–230.

Cocarascu , O. & Toni , F. 2018. Combining deep learning and argumentative reasoning for the analysis of social media textual content using small data sets. Computational Linguistics 44(4), 833–858.

Cogan , E., Parsons , S. & McBurney , P. 2005. What kind of argument are we going to have today?. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, 544–551.

Cohen , A., Gottifredi , S., García , A. J. & Simari , G. R. 2014. A survey of different approaches to support in argumentation systems. The Knowledge Engineering Review 29(5), 513–550.

Collenette , J., Atkinson , K. & Bench-Capon , T. 2020. An explainable approach to deducing outcomes in european court of human rights cases using ADFs. Frontiers in Artificial Intelligence and Applications 326, 21–32.

Collins , A., Magazzeni , D. & Parsons , S. 2019. Towards an argumentation-based approach to explainable planning. In ICAPS 2019 Workshop XAIP Program Chairs.

Core , M. G., Lane , H. C., Van Lent , M., Gomboc , D., Solomon , S. & Rosenberg , M. 2006. Building explainable artificial intelligence systems. In AAAI, 1766–1773.

Core , M. G., Lane , H. C., Van Lent , M., Solomon , S., Gomboc , D. & Carpenter , P. 2005. Toward question answering for simulations. In Proceedings of the IJCAI 2005 Workshop on Knowledge and Reasoning for Answering Questions (KRAQ05). Citeseer.

Correia , V. 2012. The ethics of argumentation. Informal Logic 32(2), 222–241.

Coste-Marquis , S., Konieczny , S., Marquis , P. & Ouali , M. A. 2012a. Selecting extensions in weighted argumentation frameworks. In COMMA, 12, 342–349.

Coste-Marquis , S., Konieczny , S., Marquis , P. & Ouali , M. A. 2012b. Weighted attacks in argumentation frameworks. In Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning.

Čyras , K. 2016. Argumentation-based reasoning with preferences. In International Conference on Practical Applications of Agents and Multi-Agent Systems, 199–210. Springer.

Čyras , K., Birch , D., Guo , Y., Toni , F., Dulay , R., Turvey , S., Greenberg , D. & Hapuarachchi , T. 2019. Explanations by arbitrated argumentative dispute. Expert Systems with Applications 127, 141–156.

Čyras , K., Delaney , B., Prociuk , D., Toni , F., Chapman , M., Dominguez , J. & Curcin , V. 2018. Argumentation for explainable reasoning with conflicting medical recommendations. In Proceedings of the Joint Proceedings of Reasoning with Ambiguous and Conflicting Evidence and Recommendations in Medicine (MedRACER 2018).

Čyras , K., Fan , X., Schulz , C. & Toni , F. 2017. Assumption-based argumentation: disputes, explanations, preferences. Journal of Applied Logics-ifcolog Journal of Logics and their Applications 4(8), 2407–2456.

Čyras , K. & Oliveira , T. 2019. Resolving conflicts in clinical guidelines using argumentation. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 1731–1739. International Foundation for Autonomous Agents and Multiagent Systems.

Čyras , K., Satoh , K. & Toni , F. 2016a. Abstract argumentation for case-based reasoning. In Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning.

Čyras , K., Satoh , K. & Toni , F. 2016b. Explanation for case-based reasoning via abstract argumentation. In International Conference on the Principles of Argumentation.

Czubaroff , J. 2007. Justice and argument: toward development of a dialogical argumentation theory. Argumentation and Advocacy 44(1), 18–35.

Das , A. & Rad , P. 2020. Opportunities and challenges in explainable artificial intelligence (xai): a survey. arXiv preprint arXiv:2006.11371.

Dauphin , J. & Cramer , M. 2017. Aspic-end: structured argumentation with explanations and natural deduction. In International Workshop on Theorie and Applications of Formal Argumentation, 51–66. Springer.

Dechter , R. & Cohen , D. 2003. Constraint Processing. Morgan Kaufmann.

Deeks , A. 2019. The judicial demand for explainable artificial intelligence. Columbia Law Review 119(7), 1829–1850.

Dheeru , D. & Taniskidou , E. K. 2017. UCI machine learning repository: mushroom data set.

Donadello , I., Dragoni , M. & Eccher , C. 2019. Persuasive explanation of reasoning inferences on dietary data. In Contributo in Atti di Convegno (Proceeding).

Došilović , F. K., Brčić , M. & Hlupić , N. 2018. Explainable artificial intelligence: a survey. In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 0210–0215. IEEE.

Doutre , S. & Mailly , J.-G. 2018. Constraints and changes: a survey of abstract argumentation dynamics. Argument & Computation 9(3), 223–248.

Dung , P. M. 1995. An argumentation-theoretic foundation for logic programming. The Journal of Logic Programming 22(2), 151–177.

Dung , P. M. 2016. An axiomatic analysis of structured argumentation with priorities. Artificial Intelligence 231, 107–150.

Dung , P. M., Kowalski , R. A. & Toni , F. 2009. Assumption-based argumentation. In Argumentation in Artificial Intelligence, 199–218. Springer.

Dung , P. M. & Son , T. C. 1995. Nonmonotonic inheritance, argumentation and logic programming. In International Conference on Logic Programming and Nonmonotonic Reasoning, 316–329. Springer.

Dunne , P. E., Hunter , A., McBurney , P., Parsons , S. & Wooldridge , M. 2011. Weighted argument systems: basic definitions, algorithms, and complexity results. Artificial Intelligence 175(2), 457–486.

Dunne , P. E., Hunter , A., McBurney , P., Parsons , S. & Wooldridge , M. J. 2009. Inconsistency tolerance in weighted argument systems. In AAMAS (2), 851–858.

Fan , X. & Toni , F. 2014. On computing explanations in abstract argumentation. In ECAI, 1005–1006.

Fan , X. & Toni , F. 2015a. On computing explanations in argumentation. In Twenty-Ninth AAAI Conference on Artificial Intelligence.

Fan , X. & Toni , F. 2015b. On explanations for non-acceptable arguments. In International Workshop on Theory and Applications of Formal Argumentation, 112–127. Springer.

Fan , X., Toni , F., Mocanu , A. & Williams , M. 2014. Dialogical two-agent decision making with assumption-based argumentation. In Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, 533–540.

Fazzinga , B., Flesca , S. & Furfaro , F. 2018. Probabilistic bipolar abstract argumentation frameworks: complexity results. In IJCAI, 1803–1809.

Fernandez , A., Herrera , F., Cordon , O., del Jesus , M. J. & Marcelloni , F. 2019. Evolutionary fuzzy systems for explainable artificial intelligence: why, when, what for, and where to?. IEEE Computational Intelligence Magazine 14(1), 69–81.

Fischer , L., Hasler , S., Deigmöller , J., Schnürer , T., Redert , M., Pluntke , U., Nagel , K., Senzel , C., Ploennigs , J., Richter , A. & Eggert , J. 2018. Which tool to use? grounded reasoning in everyday environments with assistant robots. In CogRob@ KR, 3–10.

Fitting , M. 1992. The stable model semantics for logic programming.

Fogues , R. L., Murukannaiah , P. K., Such , J. M. & Singh , M. P. 2017a. Sharing policies in multiuser privacy scenarios: incorporating context, preferences, and arguments in decision making. ACM Transactions on Computer-Human Interaction (TOCHI) 24(1), 1–29.

Fogues , R. L., Murukannaiah , P. K., Such , J. M. & Singh , M. P. 2017b. Sosharp: recommending sharing policies in multiuser privacy scenarios. IEEE Internet Computing 21(6), 28–36.

Friedrich , G. & Zanker , M. 2011. A taxonomy for generating explanations in recommender systems. AI Magazine 32(3), 90–98.

Garcez , A. S., Gabbay , D. M. & Lamb , L. C. 2005. Value-based argumentation frameworks as neural-symbolic learning systems. Journal of Logic and Computation 15(6), 1041–1058.

García , A., Chesñevar , C., Rotstein , N. & Simari , G. 2007. An abstract presentation of dialectical explanations in defeasible argumentation. In ArgNMR07, 17–32.

García , A. J., Chesñevar, C. I., Rotstein, N. D. & Simari, G. R. 2013. Formalizing dialectical explanation support for argument-based reasoning in knowledge-based systems. Expert Systems with Applications 40(8), 3233–3247.

Genitsaridi , I., Bikakis , A. & Antoniou , G. 2013. Deal: a distributed authorization language for ambient intelligence. In Pervasive and Ubiquitous Technology Innovations for Ambient Intelligence Environments, 188–204. IGI Global.

Girle , R., Hitchcock , D., McBurney , P. & Verheij , B. 2003. Decision support for practical reasoning. In Argumentation Machines, 55–83. Springer.

Gordon , T. F. 1993. The pleadings game. Artificial Intelligence and Law 2(4), 239–292.

Gordon , T. F. & Walton , D. 2009. Legal reasoning with argumentation schemes. In Proceedings of the 12th International Conference on Artificial Intelligence and Law, 137–146.

Grando , M. A., Moss , L., Sleeman , D. & Kinsella , J. 2013. Argumentation-logic for creating and explaining medical hypotheses. Artificial Intelligence in Medicine 58(1), 1–13.

Green , N. L., Branon , M. & Roosje , L. 2019. Argument schemes and visualization software for critical thinking about international politics. Argument & Computation 10(1), 41–53.

Guidotti , R., Monreale , A., Ruggieri , S., Turini , F., Giannotti , F. & Pedreschi , D. 2018. A survey of methods for explaining black box models. ACM Computing Surveys (CSUR) 51(5), 1–42.

Gunning , D. & Aha , D. W. 2019. Darpa’s explainable artificial intelligence program. AI Magazine 40(2), 44–58.

Habernal , I. & Gurevych , I. 2016. What makes a convincing argument? empirical analysis and detecting attributes of convincingness in web argumentation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 1214–1223.

Hage , J. C., Leenes , R. & Lodder , A. R. 1993. Hard cases: a procedural approach. Artificial Intelligence and Law 2(2), 113–167.

Hilton , D. J. 1990. Conversational processes and causal explanation. Psychological Bulletin 107(1), 65.

Holzinger , A., Malle , B., Kieseberg , P., Roth , P. M., Müller , H., Reihs , R. & Zatloukal , K. 2017. Towards the augmented pathologist: challenges of explainable-ai in digital pathology. arXiv preprint arXiv:1712.06657.

Indrie , S. M. & Groza , A. 2010. Enacting argumentative web in semantic wikipedia. In 9th RoEduNet IEEE International Conference, 163–168. IEEE.

Josephson , J. R. & Josephson , S. G. 1996. Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press.

Kakas , A. C., Moraitis , P. & Spanoudakis , N. I. 2019. Gorgias: applying argumentation. Argument & Computation 10(1), 55–81.

Kakas , A. & Michael , L. 2020. Abduction and argumentation for explainable machine learning: a position survey. arXiv preprint arXiv:2010.12896.

Kakas , A. & Moraitis , P. 2003. Argumentation based decision making for autonomous agents. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, 883–890.

Kakas , A. & Moraitis , P. 2006. Adaptive agent negotiation via argumentation. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, 384–391.

Karafili , E., Kakas , A. C., Spanoudakis , N. I. & Lupu , E. C. 2017. Argumentation-based security for social good. In 2017 AAAI Fall Symposium Series.

Karafili , E., Lupu , E. C., Arunkumar , S. & Bertino , E. n.d.. Policy analysis for drone systems: an argumentation-based approach.

Karafili , E., Spanaki , K. & Lupu , E. C. 2018a. An argumentation reasoning approach for data processing. Computers in Industry 94, 52–61.

Karafili , E., Wang , L., Kakas , A. C. & Lupu , E. 2018b. Helping forensic analysts to attribute cyber-attacks: an argumentation-based reasoner. In International Conference on Principles and Practice of Multi-Agent Systems, 510–518. Springer.

Karafili , E., Wang , L. & Lupu , E. C. 2020. An argumentation-based reasoner to assist digital investigation and attribution of cyber-attacks. Forensic Science International: Digital Investigation 32, 300925.

Kemke , C. 2006. An architectural framework for natural language interfaces to agent systems. In Computational Intelligence, 371–376.

Keneni , B. M., Kaur , D., Al Bataineh , A., Devabhaktuni , V. K., Javaid , A. Y., Zaientz , J. D. & Marinier , R. P. 2019. Evolving rule-based explainable artificial intelligence for unmanned aerial vehicles. IEEE Access 7, 17001–17016.

Kobbe , J., Opitz , J., Becker , M., Hulpus , I., Stuckenschmidt , H. & Frank , A. 2019. Exploiting background knowledge for argumentative relation classification. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.

Kökciyan , N., Chapman , M., Balatsoukas , P., Sassoon , I., Essers , K., Ashworth , M., Curcin , V., Modgil , S., Parsons , S. & Sklar , E. I. 2019. A collaborative decision support tool for managing chronic conditions. In MedInfo, 644–648.

Kokciyan , N., Sassoon , I., Young , A. P., Chapman , M., Porat , T., Ashworth , C., Modgil , S., Parsons , S. & Sklar , E. 2018. Towards an argumentation system for supporting patients in self-managing their chronic conditions. In AAAI.

Kökciyan , N., Yaglikci , N. & Yolum , P. 2017. An argumentation approach for resolving privacy disputes in online social networks. ACM Transactions on Internet Technology (TOIT) 17(3), 1–22.

Kökciyan , N. & Yolum , P. 2017. Context-based reasoning on privacy in internet of things. In IJCAI, 4738–4744.

Koshiyama , A., Kazim , E. & Engin , Z. 2019. Xai: digital ethics. In HeXAI Workshop.

Kraus , S., Sycara , K. & Evenchik , A. 1998. Reaching agreements through argumentation: a logical model and implementation. Artificial Intelligence 104(1–2), 1–69.

Labrie , N. & Schulz , P. J. 2014. Does argumentation matter? a systematic literature review on the role of argumentation in doctor–patient communication. Health Communication 29(10), 996–1008.

Laird , J. E. & Nielsen , E. 1994. Coordinated behavior of computer generated forces in TacAir-Soar. AD-A280 063 1001, 57.

Lamy , J.-B., Sekar , B., Guezennec , G., Bouaud , J. & Séroussi , B. 2019. Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach. Artificial Intelligence in Medicine 94, 42–53.

Langley , P. 2019. Explainable, normative, and justified agency. In Proceedings of the AAAI Conference on Artificial Intelligence, 33, 9775–9779.

Lawrence , J. & Reed , C. 2020. Argument mining: a survey. Computational Linguistics 45(4), 765–818.

Letia , I. A. & Groza , A. 2012. Interleaved argumentation and explanation in dialog. In The 12th workshop on Computational Models of Natural Argument, 44.

Levin , J. A. & Moore , J. A. 1977. Dialogue-games: metacommunication structures for natural language interaction. Cognitive Science 1(4), 395–420.

Liao , B., Anderson , M. & Anderson , S. L. 2018. Representation, justification and explanation in a value driven agent: an argumentation-based approach. arXiv preprint arXiv:1812.05362.

Lifschitz , V. 2019. Answer Set Programming. Springer International Publishing.

Lippi , M. & Torroni , P. 2016. Argumentation mining: state of the art and emerging trends. ACM Transactions on Internet Technology (TOIT) 16(2), 1–25.

Liu , X., Eshghi , A., Swietojanski , P. & Rieser , V. 2019. Benchmarking natural language understanding services for building conversational agents. arXiv preprint arXiv:1903.05566.

Lombrozo , T. 2006. The structure and function of explanations. Trends in Cognitive Sciences 10(10), 464–470.

Longo , L. 2016. Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning. In Machine Learning for Health Informatics, 183–208. Springer.

Longo , L. & Hederman , L. 2013. Argumentation theory for decision support in health-care: a comparison with machine learning. In International Conference on Brain and Health Informatics, 168–180, Springer.

Loui , R. P. & Norman , J. 1995. Rationales and argument moves. Artificial Intelligence and Law 3(3), 159–189.

Lucero , M. J. G., Chesnevar , C. I. & Simari , G. R. 2009. On the accrual of arguments in defeasible logic programming. In Twenty-First International Joint Conference on Artificial Intelligence.

Luis-Argentina , S. 2008. Decision rules and arguments in defeasible decision making. In Computational Models of Argument: Proceedings of COMMA 2008, 172, 171.

Madhikermi , M., Malhi , A. K. & Främling , K. 2019. Explainable artificial intelligence based heat recycler fault detection in air handling unit. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 110–125. Springer.

Malle , B. F. 2006. How the Mind Explains Behavior: Folk Explanations, Meaning, and Social Interaction. MIT Press.

Mayer , T., Cabrio , E., Lippi , M., Torroni , P. & Villata , S. 2018. Argument mining on clinical trials. In COMMA, 137–148.

McBurney , P. & Parsons , S. 2002. Dialogue games in multi-agent systems. Informal Logic 22(3).

McBurney , P. & Parsons , S. 2009. Dialogue games for agent argumentation. In Argumentation in Artificial Intelligence, 261–280, Springer.

Mcburney , P., Van Eijk , R. M., Parsons , S. & Amgoud , L. 2003. A dialogue game protocol for agent purchase negotiations. Autonomous Agents and Multi-Agent Systems 7(3), 235–273.

McCarty , L. T. 1976. Reflections on taxman: an experiment in artificial intelligence and legal reasoning. Harvard Law Review 90, 837.

Meditskos , G., Kontopoulos , E., Vrochidis , S. & Kompatsiaris , I. 2019. Converness: ontology-driven conversational awareness and context understanding in multimodal dialogue systems. Expert Systems, e12378.

Melo , V. S., Panisson , A. R. & Bordini , R. H. 2016. Argumentation-based reasoning using preferences over sources of information. In Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 1337–1338.

Mercier , H. & Sperber , D. 2011. Why do Humans Reason? Arguments for an Argumentative Theory. Cambridge University Press.

Miller , T. 2019. Explanation in artificial intelligence: insights from the social sciences. Artificial Intelligence 267, 1–38.

Modgil , S. 2006a. Hierarchical argumentation. In European Workshop on Logics in Artificial Intelligence, 319–332. Springer.

Modgil , S. 2006b. Value based argumentation in hierarchical argumentation frameworks. COMMA 144, 297–308.

Modgil , S. 2009. Reasoning about preferences in argumentation frameworks. Artificial Intelligence 173(9–10), 901–934.

Modgil , S., Budzynska , K. & Lawrence , J. 2018. Argument harvesting using chatbots. In Computational Models of Argument: Proceedings of COMMA 2018, 305, 149.

Modgil , S. & Prakken , H. 2014. The aspic+ framework for structured argumentation: a tutorial. Argument & Computation 5(1), 31–62.

Modgil , S., Toni , F., Bex , F., Bratko , I., Chesñevar , C. I., Dvořák , W., Falappa , M. A., Fan , X., Gaggl , S. A., García , A. J., González , M. P., Gordon , T. F., Leite , J., Možina , M., Reed , C., Simari , G. R., Szeider , S., Torroni , P. & Woltran , S. 2013. The added value of argumentation. In Agreement Technologies, 357–403. Springer.

Moens , M.-F. 2016. Argumentation mining: how can a machine acquire world and common sense knowledge?. In COMMA, 4.

Moens , M.-F. 2018. Argumentation mining: how can a machine acquire common sense and world knowledge?. Argument & Computation 9(1), 1–14.

Mollas , I., Bassiliades , N. & Tsoumakas , G. 2020. Altruist: argumentative explanations through local interpretations of predictive models. arXiv preprint arXiv:2010.07650.

Mosca , F., Sarkadi , S., Such , J. M. & McBurney , P. 2020. Agent expri: licence to explain. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 21–38. Springer.

Možina , M., Žabkar , J. & Bratko , I. 2007. Argument based machine learning. Artificial Intelligence 171(10–15), 922–937.

Murukannaiah , P. K., Kalia , A. K., Telangy , P. R. & Singh , M. P. 2015. Resolving goal conflicts via argumentation-based analysis of competing hypotheses. In 2015 IEEE 23rd International Requirements Engineering Conference (RE), 156–165. IEEE.

Nicolaides , A. N., Kakkos , S. K., Kyriacou , E., Griffin , M., Sabetai , M., Thomas , D. J., Tegos , T., Geroulakos , G., Labropoulos , N., Doré , C. J., Morris , T. P., Naylor , R. & Abbott , A. L. 2010. Asymptomatic internal carotid artery stenosis and cerebrovascular risk stratification. Journal of Vascular Surgery 52(6), 1486–1496.

Noël , V. & Kakas , A. 2009. Gorgias-c: extending argumentation with constraint solving. In International Conference on Logic Programming and Nonmonotonic Reasoning, 535–541. Springer.

Nunes , E., Kulkarni , N., Shakarian , P., Ruef , A. & Little , J. 2016a. Cyber-deception and attribution in capture-the-flag exercises. In Cyber Deception, 149–165. Springer.

Nunes , E., Shakarian , P. & Simari , G. I. 2016b. Toward argumentation-based cyber attribution. In 30th AAAI Conference on Artificial Intelligence, AAAI 2016, 177–184. AI Access Foundation.

Nunes , E., Shakarian , P., Simari , G. I. & Ruef , A. 2016c. Argumentation models for cyber attribution. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 837–844. IEEE.

Nute , D. 2001. Defeasible logic. In International Conference on Applications of Prolog, 151–169. Springer.

Oliveira , T., Dauphin , J., Satoh , K., Tsumoto , S. & Novais , P. 2018. Argumentation with goals for clinical decision support in multimorbidity. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems.

Ott , M., Cardie , C. & Hancock , J. T. 2013. Negative deceptive opinion spam. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 497–501.

Páez , A. 2019. The pragmatic turn in explainable artificial intelligence (xai). Minds and Machines 29(3), 441–459.

Panisson , A. R. 2019. Towards an organisation-centred semantics for argumentation-based dialogues. In 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 491–496. IEEE.

Panisson , A. R., Ali , A., McBurney , P. & Bordini , R. H. 2018. Argumentation schemes for data access control. In COMMA, 361–368.

Panisson , A. R. & Bordini , R. H. 2016. Knowledge representation for argumentation in agent-oriented programming languages. In 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 13–18. IEEE.

Panisson , A. R., Meneguzzi , F., Vieira , R. & Bordini , R. H. 2014. An approach for argumentation-based reasoning using defeasible logic in multi-agent programming languages. In 11th International Workshop on Argumentation in Multiagent Systems, 1–15.

Panisson , A. R., Meneguzzi , F., Vieira , R. & Bordini , R. H. 2015. Towards practical argumentation-based dialogues in multi-agent systems. In 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2, 151–158. IEEE.

Pavese , C. 2019. The semantics and pragmatics of argumentation. Academia.

Pilotti , P., Casali , A. & Chesñevar , C. 2015. A belief revision approach for argumentation-based negotiation agents. International Journal of Applied Mathematics and Computer Science 25(3), 455–470.

Pocevičiūtė , M., Eilertsen , G. & Lundström , C. 2020. Survey of XAI in digital pathology. In Artificial Intelligence and Machine Learning for Digital Pathology, 56–88, Springer.

Potash , P., Bhattacharya , R. & Rumshisky , A. 2017. Length, interchangeability, and external knowledge: observations from predicting argument convincingness. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 342–351.

Prakken , H. 2005a. Ai & law, logic and argument schemes. Argumentation 19(3), 303–320.

Prakken , H. 2005b. Coherence and flexibility in dialogue games for argumentation. Journal of Logic and Computation 15(6), 1009–1040.

Prakken , H. 2017. Logics of Argumentation and the Law. Cambridge University Press.

Prakken , H. & Sartor , G. 1998. Modelling reasoning with precedents in a formal dialogue game. In Judicial Applications of Artificial Intelligence, 127–183. Springer.

Prakken , H., Wyner , A., Bench-Capon , T. & Atkinson , K. 2015. A formalization of argumentation schemes for legal case-based reasoning in aspic+. Journal of Logic and Computation 25(5), 1141–1166.

Prentzas , N., Nicolaides , A., Kyriacou , E., Kakas , A. & Pattichis , C. 2019. Integrating machine learning with symbolic reasoning to build an explainable AI model for stroke prediction. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 817–821. IEEE.

Qurat-ul-ain Shaheen , A. T. & Bowles , J. K. 2020. Dialogue games for explaining medication choices. In Rules and Reasoning: 4th International Joint Conference, RuleML+ RR 2020, Oslo, Norway, June 29–July 1, 2020, Proceedings, 97. Springer Nature.

Rago , A., Cocarascu , O. & Toni , F. 2018. Argumentation-based recommendations: fantastic explanations and how to find them. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.

Rahwan , I., Banihashemi , B., Reed , C., Walton , D. & Abdallah , S. 2011. Representing and classifying arguments on the semantic web. The Knowledge Engineering Review 26(4), 487–511.

Reed , C., Wells , S., Budzynska , K. & Devereux , J. 2010. Building arguments with argumentation: the role of illocutionary force in computational models of argument. In COMMA, 415–426.

Regulation , P. 2016. Regulation (eu) 2016/679 of the European Parliament and of the Council. REGULATION (EU), 679.

Ripley , M. L. 2005. Arguing for the ethics of an ad: an application of multi-modal argumentation theory.

Rissland , E. L. & Ashley , K. D. 1987. A case-based system for trade secrets law. In Proceedings of the 1st International Conference on Artificial Intelligence and Law, 60–66.

Rosenfeld , A. & Kraus , S. 2016a. Providing arguments in discussions on the basis of the prediction of human argumentative behavior. ACM Transactions on Interactive Intelligent Systems (TiiS), 6(4), 1–33.

Rosenfeld , A. & Kraus , S. 2016b. Strategical argumentative agent for human persuasion. In Proceedings of the Twenty-second European Conference on Artificial Intelligence, 320–328. IOS Press.

Rowe , J., Levitt , K., Parsons , S., Sklar , E., Applebaum , A. & Jalal , S. 2012. Argumentation logic to assist in security administration. In Proceedings of the 2012 New Security Paradigms Workshop, 43–52.

Sakama , C. 2018. Abduction in argumentation frameworks. Journal of Applied Non-Classical Logics 28(2–3), 218–239.

Samadi , M., Talukdar , P., Veloso , M. & Blum , M. 2016. Claimeval: integrated and flexible framework for claim evaluation using credibility of sources. In Thirtieth AAAI Conference on Artificial Intelligence.

Samek , W. & Müller , K.-R. 2019. Towards explainable artificial intelligence. In Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 5–22. Springer.

Santini , F. & Yautsiukhin , A. 2015. Quantitative analysis of network security with abstract argumentation. In Data Privacy Management, and Security Assurance, 30–46. Springer.

Sassoon , I., Kökciyan , N., Sklar , E. & Parsons , S. 2019. Explainable argumentation for wellness consultation. In International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 186–202. Springer.

Schoenborn , J. M. & Althoff , K.-D. 2019. Recent trends in XAI: a broad overview on current approaches, methodologies and interactions. In ICCBR Workshops, 51–60.

Schreier , M., Groeben , N. & Christmann , U. 1995. ‘that’s not fair! argumentational integrity as an ethics of argumentative communication. Argumentation 9(2), 267–289.

Schulz , C. & Toni , F. 2016. Justifying answer sets using argumentation. Theory and Practice of Logic Programming 16(1), 59–110.

Šešelja , D. & Straßer, C. 2013. Abstract argumentation and explanation applied to scientific debates. Synthese 190(12), 2195–2217.

Shakarian , P., Simari , G. I., Moores , G. & Parsons , S. 2015. Cyber attribution: an argumentation-based approach. In Cyber Warfare, 151–171. Springer.

Sheh , R. K.-M. 2017. “Why did you do that?” explainable intelligent robots. In Workshops at the Thirty-First AAAI Conference on Artificial Intelligence.

Sklar , E. I. & Azhar , M. Q. 2015. Argumentation-based dialogue games for shared control in human-robot systems. Journal of Human-Robot Interaction 4(3), 120–148.

Sklar , E. I. & Azhar , M. Q. 2018. Explanation through argumentation. In Proceedings of the 6th International Conference on Human-Agent Interaction, 277–285.

Sklar , E. I., Parsons , S., Li , Z., Salvit , J., Perumal , S., Wall , H. & Mangels , J. 2016. Evaluation of a trust-modulated argumentation-based interactive decision-making tool. Autonomous Agents and Multi-Agent Systems 30(1), 136–173.

Sklar , E., Parsons , S. & Singh , M. P. 2013. Towards an argumentation-based model of social interaction. In Proceedings of the Workshop on Argumentation in Multiagent Systems (ArgMAS) at the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Slugoski , B. R., Lalljee , M., Lamb , R. & Ginsburg , G. P. 1993. Attribution in conversational context: effect of mutual knowledge on explanation-giving. European Journal of Social Psychology 23(3), 219–238.

Smullyan , R. M. 1995. First-Order Logic. Courier Corporation.

Snaith , M., Lawrence , J. & Reed , C. 2010. Mixed initiative argument in public deliberation. Online Deliberation, 2.

Sørmo , F., Cassens , J. & Aamodt , A. 2005. Explanation in case-based reasoning–perspectives and goals. Artificial Intelligence Review 24(2), 109–143.

Spanoudakis , G., Kloukinas , C. & Androutsopoulos , K. 2007. Towards security monitoring patterns. In Proceedings of the 2007 ACM Symposium on Applied Computing, 1518–1525.

Spanoudakis , N. I., Constantinou , E., Koumi , A. & Kakas , A. C. 2017. Modeling data access legislation with gorgias. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 317–327. Springer.

Spanoudakis , N. I., Kakas , A. C. & Moraitis , P. 2016a. Applications of argumentation: the soda methodology. In Proceedings of the Twenty-second European Conference on Artificial Intelligence, 1722–1723.

Spanoudakis , N. I., Kakas , A. C. & Moraitis , P. 2016b. Gorgias-b: argumentation in practice. In COMMA, 477–478.

Spanoudakis , N. & Moriaitis , P. 2009. Engineering an agent-based system for product pricing automation. Engineering Intelligent Systems 17(2), 139.

Swanson , R., Ecker , B. & Walker , M. 2015. Argument mining: extracting arguments from online dialogue. In Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 217–226.

Tang , Y., Cai , K., McBurney , P., Sklar , E. & Parsons , S. 2012. Using argumentation to reason about trust and belief. Journal of Logic and Computation 22(5), 979–1018.

Tang , Y., Sklar , E. & Parsons , S. 2012. An argumentation engine: argtrust. In Ninth International Workshop on Argumentation in Multiagent Systems.

Thimm , M. & Kersting , K. 2017. Towards argumentation-based classification. In Logical Foundations of Uncertainty and Machine Learning, Workshop at IJCAI, 17.

Tjoa , E. & Guan , C. 2019. A survey on explainable artificial intelligence (XAI): towards medical XAI. arXiv preprint arXiv:1907.07374.

Torres , I., Hernández , N., Rodrguez , A., Fuentes , G. & Pineda , L. A. 2019. Reasoning with preferences in service robots. Journal of Intelligent & Fuzzy Systems 36(5), 5105–5114.

Toulmin , S. 1958. The Uses of Argument. Cambridge University Press.

Vassiliades , A., Patkos , T., Bikakis , A., Flouris , G., Bassiliades , N. & Plexousakis , D. 2020. Preliminary notions of arguments from commonsense knowledge. In 11th Hellenic Conference on Artificial Intelligence, 211–214.

Verheij , B. 2003. Artificial argument assistants for defeasible argumentation. Artificial Intelligence 150(1–2), 291–324.

Waltl , B. & Vogl , R. 2018. Explainable artificial intelligence the new frontier in legal informatics. Jusletter IT 4, 1–10.

Walton , D. 2005. Argumentation Methods for Artificial Intelligence in Law. Springer Science & Business Media.

Wanner , L., André , E., Blat , J., Dasiopoulou , S., Farrùs , M., Fraga , T., Kamateri , E., Lingenfelser , F., Llorach , G., Martínez , O., Meditskos , G., Mille , S., Minker , W., Pragst , L., Schiller , D., Stam , A., Stellingwerff , L., Sukno , F., Vieru , B. & Vrochidis , S. 2017. Kristina: a knowledge-based virtual conversation agent. In International Conference on Practical Applications of Agents and Multi-Agent Systems, 284–295. Springer.

Wardeh , M., Wyner , A., Atkinson , K. & Bench-Capon , T. 2013. Argumentation based tools for policy-making. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law, 249–250.

Wick , M. R. & Thompson , W. B. 1992. Reconstructive expert system explanation. Artificial Intelligence 54(1–2), 33–70.

Willmott , S., Vreeswijk , G., Chesnevar , C., South , M., McGinnis , J., Modgil , S., Rahwan , I., Reed , C. & Simari , G. 2006. Towards an argument interchange format for multiagent systems. In 3rd International Workshop on Argumentation in Multi-Agent Systems, ArgMAS-06, 17–34.

Wooldridge , M. 2009. An Introduction to Multiagent Systems. John Wiley & Sons.

Wooldridge , M. & Van Der Hoek , W. 2005. On obligations and normative ability: towards a logical analysis of the social contract. Journal of Applied Logic 3(3–4), 396–420.

Wyner , A. Z., Atkinson , K. & Bench-Capon , T. 2012a. Model based critique of policy proposals. In International Conference on Electronic Participation, 120–131, Springer.

Wyner , A. Z., Atkinson , K. & Bench-Capon , T. J. 2012b. Opinion gathering using a multi-agent systems approach to policy selection. In AAMAS, 1171–1172.

Yang , S. C.-H. & Shafto , P. 2017. Explainable artificial intelligence via bayesian teaching. In NIPS 2017 Workshop on Teaching Machines, Robots, and Humans.

Zeng , Z., Fan , X., Miao , C., Leung , C., Jih , C. J. & Soon , O. Y. 2018. Context-based and explainable decision making with argumentation. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 1114–1122. International Foundation for Autonomous Agents and Multiagent Systems.

Zeng , Z., Miao , C., Leung , C. & Chin , J. J. 2018. Building more explainable artificial intelligence with argumentation. In Thirty-Second AAAI Conference on Artificial Intelligence.

Zhang , S., Rudinger , R., Duh , K. & Van Durme , B. 2017. Ordinal common-sense inference. Transactions of the Association for Computational Linguistics 5, 379–395.

Zhong , Q., Fan , X., Luo , X. & Toni , F. 2019. An explainable multi-attribute decision model based on argumentation. Expert Systems with Applications 117, 42–61.

Zhong , Q., Fan , X., Toni , F. & Luo , X. 2014. Explaining best decisions via argumentation. In ECSI, 224–237.