Back Article

Aha D. W., Molineaux M., Ponsen M.2005. Learning to win: case-based plan selection in a real-time strategy game. In Proceedings of the Sixth International Conference on Case-Based Reasoning, Muñoz-avila, H. & Ricci, F. (eds). Springer, 5–20.

Arbib M.2002. The mirror system, imitation, and the evolution of language. In Imitation in Animals and Artifacts, Dautenhahn, K. & Nehaniv, C.L. (eds). MIT Press, 229–280.

Arkin R. C.1989. Motor schema-based mobile robot navigation. International Journal of Robotic Research8(4), 92–112.

Ashley K., Hammond K.1987. Compare and contrast, a test of expertise. In Proceedings of the Sixth National Conference on Artificial Intelligence, 273–284. Seattle, Washington.

Billard A., Hayes G.1999. DRAMA, a connectionist architecture for control and learning in autonomous robots. Adaptive Behavior7(1), 35–63.

Blakemore S. J., Goodbody S. J., Wolpert D. M.1998. Predicting the consequences of our own actions: the role of sensorimotor context estimation. Journal of Neuroscience18, 7511–7518.

Brooks R. A.1991. Intelligence without representations. Artificial Intelligence Journal47, 139–159.

Cangelosi A., Riga T.2006. An embodied model for sensorimotor grounding and grounding transfer: experiments with epigenetic robots. Cognitive Science30(4), 673–689.

Cisek P.Kalaska J. F.2005. Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action. Neuron45(5), 801–814.

Cunningham P.2009. A taxonomy of similarity mechanisms for case-based reasoning. IEEE Transactions on Knowledge and Data Engineering21(11), 1532–1543.

Dapretto M., Davies M. S., Pfeifer J. H., Scott A. A., Sigman M., Bookheimer S. Y., Iacoboni M.2005. Understanding emotions in others: mirror neuron dysfunction in children with autism spectrum disorders. Nature Neuroscience9, 28–30.

Demiris Y., Khadhouri B.2006. Hierarchical attentive multiple models for execution and recognition of actions. Robotics and Autonomous Systems54, 361–369.

de Mántaras R. L., Mcsherry D., Bridge D., Leake D., Smyth B., Susan C., Faltings B., Maher M. L., Cox M. T., Forbus K., Keane M., Aamodt A., Watson I.2005. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review20(3), 215–240.

Díaz-Agudo B., Gervás P., González-Calero P. A.2003. Adaptation guided retrieval based on formal concept analysis. In Case-Based Reasoning Research & Development. Lecture Notes in Computer Science 2689, 131–145.

Dinerstein J., Ventura D., Egbert P. K.2005. Fast and robust incremental action prediction for interactive agents. Computational Intelligence21(1), 90–110.

Dinstein I., Gardner J., Jazayeri M., Heeger D.2008. Executed and observed movements have different distributed representations in human aIPS. Journal of Neuroscience28(44), 11231–11239.

Dinstein I., Hasson U., Rubin N., Heeger D.2007. Brain areas selective for both observed and executed movements. Journal of Neurophysiology98(3), 1415–1427.

Fagan M., Cunningham P.2003. Case-based plan recognition in computer games. In Proceedings of the Fifth ICCBR. Springer, 161–170. Trondheim, Norway.

Filimon F., Nelson J. D., Hagler D. J., Sereno M. I.2007. Human cortical representations for reaching: mirror neurons for execution, observation, and imagery. NeuroImage37(4), 1315–1328.

French R. M.1999. Catastrophic forgetting in connectionist networks. Trends in Cognitive Sciences3(4), 128–135.

Gabel T., Veloso M. M.2001. Selecting Heterogeneous Team Players by Case-based Reasoning: A Case Study in Robotic Soccer Simulation. Technical report CMU-CS-01-165.

Gallese V., Goldman A.1998. Mirror neurons and the simulation theory of mind-reading. Trends in Cognitive Sciences2(12).

Gaussier P., Moga S., Banquet J. P., Quoy M.1998. From perception-action loops to imitation processes: a bottom-up approach of learning by imitation. Applied Artificial Intelligence1(7), 701–727.

Grabert M., Bridge D.2003. Case-based reuse of software examplets. Journal of Universal Computer Science9, 627–640.

Grush R.2004. The emulation theory of representation: motor control, imagery, and perception. Behavioral and Brain Sciences3, 377–396.

Hamilton A., Grafton S.2007. The motor hierarchy: from kinematics to goals and intentions. Sensorimotor Foundations of Higher Cognition22, 381–408.

Hammond K.1989. Case-based planning: viewing planning as a memory task. Perspectives in Artificial Intelligence. Academic Press.

Harnad S.1990. The symbol grounding problem. Physica D: Nonlinear Phenomena42, 335–346.

Hartley T., Mehdi Q.2009. Online action adaptation in interactive computer games. Entertainment Computing7(2), 1–31.

Herwig A., Waszak F.2009. Intention and attention in ideomotor learning. The Quarterly Journal of Experimental Psychology62(2), 219–227.

Imamizu H., Kuroda T., Yoshioka T., Kawato M.2004. Functional magnetic resonance imaging examination of two modular architectures for switching multiple internal models. Journal of Neuroscience24(5), 1173–1181.

Ito M.1984. The Cerebellum and Neural Control. Raven Press.

Ito M.2008. Control of mental activities by internal models in the cerebellum. Nature Reviews Neuroscience9(4), 304–313.

Jaeger H., Haas H.2004. Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless telecommunication. Science304(5667), 78–80.

Jordan M. I., Rumelhart D. E.1992. Forward models: supervised learning with a distal teacher. Cognitive Science16, 307–354.

Jurišica I., Glasgow J.1995. Applying case-based reasoning to control in robotics. In 3rd Robotics and Knowledge-Based Systems Workshop, St. Hubert, Quebec, 189–196.

Jurišica I., Glasgow J.1997. Improving performance of case-based classification using context-based relevance. International Journal of Artificial Intelligence Tools6, 3–4.

Kandel E. R., Schwartz J. H., Jessell T. M.2000. Principles of Neural Science. McGraw-Hill.

Karol A., Nebel B., Stanton C., Williams M.-A.2003. Case based game play in the robocup four-legged league part 1 the theoretical model. In RoboCup, Polani, D., Browning, B. & Bonarini, A. (eds). Springer, 739–747.

Kerkez B., Cox M.2003. Incremental case-based plan recognition with local predictions. International Journal on Artificial Intelligence Tools: Architectures, Languages, Algorithms12, 413–463.

Koehler J.1996. Planning from second principles. Artificial Intelligence87, 148–187.

Kohler E., Keysers C., Umilta M., Fogassi L., Gallese V., Rizzolatti G.2002. Hearing sounds, understanding actions: action representation in mirror neurons. Science297(5582), 846–848.

Kolodner J.1993. Case-Based Reasoning (Morgan Kaufmann Series in Representation and Reasoning). Morgan Kaufmann.

Kolodner J., Simpson R., Sycara K.1985. A process model of case-based reasoning in problem solving. In Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles, CA, 284–290.

Kravitz J. H., Yaffe F.1972. Conditioned adaptation to prismatic displacement with a tone as the conditional stimulus. Percept Psychophysiology12, 305–308.

Leake D., Kinley A.1998. Integrating cbr components within a case-based planner. In Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integration, 96–105. Madison, Wisconsin.

Leake D. B., Kinley A., Wilson D.1995. Learning to improve case adaptation by introspective reasoning and cbr. In Proceedings of the First International Conference on Case-Based Reasoning. Springer-Verlag, 229–240. Sesimbra, Portugal.

Lee-Urban S., Muñoz-Avila H.2009. Adaptation versus retrieval trade-off revisited: an analysis of boundary conditions. In ICCBR, 180–194.

Likhachev M., Arkin R. C.2001. Spatio-temporal case-based reasoning for behavioral selection. In Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 1627–1634. Seoul, Korea.

Likhachev M., Kaess M., Arkin R. C.2002. Learning behavioral parameterization using spatio-temporal case-based reasoning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1282–1289. Washington, DC, USA.

Lingnau A., Gesierich B., Caramazza A.2009. Asymmetric fMRI adaptation reveals no evidence for mirror neurons in humans. Proceedings of the National Academy of Sciences106(24), 9925–9930.

Lopez B., Plaza E.1993. Case-based planning for medical diagnosis. In Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems (ISMIS'93), 96–105. Trondheim, Norway.

Markman A. B., Dietrich E.2000. In defense of representation. Cognitive Psychology40, 138–171.

Massie S., Wiratunga N., Donati A., Vicari E.2007. From anomaly reports to cases. In 7th International CBR Conference (ICCBR'07). Springer, 359–373. Belfast, Northern Ireland.

Matarić M. J.2002. Sensory-motor primitives as a basis for learning by imitation: linking perception to action and biology to robotics. In Imitation in Animals and Artifacts, Dautenhahn, K. & Nehaniv, C.L. (eds). MIT Press, 392–422.

Mehdi Q., Gough N., Elmaghraby A. (eds). 2005. Online Learning From Observation For Interactive Computer Games. University of Wolverhampton, School of Computing and Information Technology.

Meltzoff A. N., Moore M. K.1977. Imitation of facial and manual gestures by human neonates. Science198, 75–78.

Meltzoff A. N., Moore M. K.1997. Explaining facial imitation: a theoretical model. Early Development and Parenting6, 179–192.

Miall R. C., Wolpert D. M.1996. Forward models for physiological motor control. Neural Networks9(8), 1265–1279.

Miall R. C., Weir D. J., Wolpert D. M. W., Stein J. F. S.1993. Is the cerebellum a smith predictor?Journal of Motor Behavior25(3), 203–216.

Muñoz-Avila H., Cox M. T.2008. Case-based plan adaptation: an analysis and review. IEEE Intelligent Systems23(4), 75–81.

Muñoz Avila H., Hüllen J.1996. Feature weighting by explaining case-based planning episodes. In EWCBR '96: Proceedings of the Third European Workshop on Advances in Case-Based Reasoning, Smith, I. & Faltings, B. (eds). Springer-Verlag, 280–294.

Oberman L., Hubbard E., McCleery J., Altschuler E., Ramachandran V., Pineda J.2005. EEG evidence for mirror neuron dysfunction in autism spectrum disorders. Cognitive Brain Research24(2), 190–198.

Öztürk P.2009. Levels and types of action selection: the action selection soup. Adaptive Behavior – Animals, Animats, Software Agents, Robots, Adaptive Systems17(6), 537–554.

Piaget J.1962. Play, Dreams and Imitation in Childhood. W.W. Norton.

Ram A.1993. Indexing, elaboration and refinement: incremental learning of explanatory cases. Machine Learning10, 201–248.

Ram A., Arkin R. C., Moorman K., Clark R. J.1997. Case-based reactive navigation: a method for on-line selection and adaptation of reactive robotic control parameters. IEEE Transactions on Systems, Man, and Cybernetics, Part B27(3), 376–394.

Ram A., Francis A. J.1996. Multi-plan retrieval and adaptation in an experience-based agent. In Case-Based Reasoning: Experiences, Lessons, and Future Directions, Leake, D. (ed). AAAI Press, 167–183.

Ram A., Santamara J. C.1993. Continuous case-based reasoning. Artificial Intelligence90, 86–93.

Rizzolatti G., Fadiga L., Gallese V., Fogassi L.1996a. Premotor cortex and the recognition of motor actions. Cognitive Brain Research3, 131–141.

Rizzolatti G., Fadiga L., Matelli M., Bettinardi V., Paulesu E., Perani D., Fazio F.1996b.Localization of grasp representations in humans by PET: 1. Observation versus execution. Experimental Brain Research111(2), 246–252.

Robin N., Dominique L., Toussaint L., Blandin Y., Guillot A., Le Her M.2007. Effects of motor imagery training on returning serve accuracy in tennis: the role of imagery ability. International Journal of Sport and Exercise Psychology2, 177–188.

Ros R., Arcos J. L., de Mántaras R. L., Veloso M.2009. A case-based approach for coordinated action selection in robot soccer. Artificial Intelligence173(9–10), 1014–1039.

Ros R., Veloso M., de Mántaras R. L., Sierra C., Arcos J. L.2006. Retrieving and reusing game plays for robot soccer. In Advances in Case-Based Reasoning, Roth-Berghofer, T. R., Göker, M. H. & Güvenir, H. A. (eds). Springer, 47–61.

Rosenbloom L., Newell A.1987. Soar: an architecture for general intelligence. Artificial Intelligence33, 1–64.

Russel S., Norvig P.2010. Artificial Intelligence: A Modern Approach. Prentice Hall, 3rd edn.

Schaal S.1999. Is imitation learning the route to humanoid robots?Trends in Cognitive Sciences3(6), 233–242.

Schank R. C.1982. Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press.

Searle J.1983. Intentionality: An Essay in the Philosophy of Mind. Cambridge University Press.

Shadmehr R., Mussa-Ivaldi F.1994. Adaptive representation of dynamics during learning of a motor task. Journal of Neuroscience14(5), 3208–3224.

Shin Y., Proctor R., Capaldi E.2010. A review of contemporary ideomotor theory. Psychological Bulletin136(6), 943–974.

Smyth B., Keane M. T.1998. Adaptation-guided retrieval: questioning the similarity assumption in reasoning. Artificial Intelligence102, 249–293.

Sugandh N., Ontañón S., Ram A.2008. On-line case-based plan adaptation for real-time strategy games. In 23rd AAAI Conference on Artificial Intelligence, Fox, D. & Gomes, C.P. (eds). AAAI Press, 702–707.

Tidemann A.Öztürk P.2008. Learning dance movements by imitation: a multiple model approach. In 31st Annual German Conference on AI, Dengel, A., Berns, K., Breuel, T, Bomarius, F. & Roth-Berghofer, T. R. (eds). Lecture Notes in Computer Science 5243, 380–388. Springer.

Veloso M. M., Muñoz Avila H., Bergmann R.1996. Case-based planning: selected methods and systems. AI Communications9(3), 128–137.

Williams J., Whiten A., Suddendorf T., Perrett D.2001. Imitation, mirror neurons and autism. Neuroscience and Biobehavioral Reviews25(4), 287–295.

Wolpert D. M., Doya K., Kawato M.2003. A unifying computational framework for motor control and social interaction. Philosophical Transactions: Biological Sciences358(1431), 593–602.

Wolpert D. M., Flanagan J. R.2001. Motor prediction. Current Biology11(18), 729–732.

Wolpert D. M., Kawato M.1998. Multiple paired forward and inverse models for motor control. Neural Networks11(7–8), 1317–1329.

Wolpert D. M., Miall R. C., Kawato M.1998. Internal models in the cerebellum. Trends in Cognitive Science2.

Zimmermann-Schlatter A., Schuster C., Puhan M. A., Siekierka E., Steurer J.2008. Efficacy of motor imagery in post-stroke rehabilitation: a systematic review. Journal of NeuroEngineering and Rehabilitation5(8), 8–18.