Learning context sensitive logical inference in a neurobiolobical simulation

AAAI Fall Symposium - Technical Report

Volumn FS-04-03, Issue , 2004, Pages 17-19

  Eliasmith, Chris ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 32844461415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Adolphs, R.; Bechara, A.; Tranel, D.; Damasio, H.; and Damasio, A. 1995. Neuropsychological approaches to reasoning and decision-making. In Damasio, A.; Damasio, H.; and Christen, Y., eds., Neurobiology of Decision-Making. New York: Springer Verlag.
2. Cheng, P. W., and Holyoak, K. J. 1985. Pragmatic reasoning schemas. Cognitive Psychology 17:391-416.
3. Eliasmith, C., and Anderson, C. H. 2003. Neural engineering: Computation, representation, and dynamics in neurobiological systems. Cambridge, MA: MIT Press.
4. Eliasmith, C., and Thagard, P. 2001. Integrating structure and meaning: A distributed model of analogical mapping. Cognitive Science 25:245-286.
5. Fodor, J., and Pylyshyn, Z. 1988. Connectionism and cognitive science: A critical analysis. Behavioral and Brain Sciences 28:3-71.
6. Holroyd, C., and Coles, M. 2002. The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review 109:679-709.
7. Jackendoff, R. 2002. Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford University Press.
8. Kanerva, P. 1994. The spatter code for encoding concepts at many levels. Proceedings of International Conference on Artificial Neural Networks 46:226-229.
9. Neumann, J. 2001. Holistic Processing of Hierarchical Structures in Connectionist Networks. PhD dissertation, University of Edinburgh, Department of Computer Science.
10. Parsons, L., and Osherson, D. 2001. New evidence for distinct right and left brain systems for deductive versus probabilistic reasoning. Cerebral Cortex 11:954-965.
11. Parsons, L.; Osherson, D.; and Martinez, M. 1999. Distinct neural mechanisms for propositional logic and probabilistic reasoning. Proceedings of the Psychonomic Society Meeting 61-62.
12. Plate, A. Holographic reduced representations: Convolution algebra for compositional distributed representations. In Mylopoulos, J., and Reiter, R., eds., Proceedings of the 12th International Joint Conference on Artificial Intelligence. San Mateo, CA: Morgan Kaufmann.
13. Rinella, K.; Bringsjord, S.; and Yang, Y. 2001. Efficacious logic instruction: People are not irremediably poor deductive reasoners. In Moore, J., and Stenning, K., eds., Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 851-856. Mahwah, NJ: Lawrence Erlbaum Associates.
14. Smolensky, P. 1990. Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial Intelligence 46:159-217.
15. Wason, P. C. 1966. Reasoning. In Foss, B. M., ed., New horizons in psychology. Harmondsworth: Penguin.
16. Wharton, C., and Grafman, J. 1998. Deductive reasoning and the brain. Trends in Cognitive Sciences 2:54-59.