The strong story hypothesis and the directed perception hypothesis

AAAI Fall Symposium - Technical Report

Volumn FS-11-01, Issue , 2011, Pages 345-352

  Winston, Patrick Henry ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYBERSPACES; HUMAN INTELLIGENCE; MACBETH; REASONING SYSTEM; REFLECTION PATTERNS; SHAKESPEARE; STORY TELLING; STORY UNDERSTANDING;

MAMMALS;

COGNITIVE SYSTEMS;

EID: 84856475043     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Borchardt, G. 1994. Thinking Between the Lines. MIT Press.
2. Brooks, R. 1991. Intelligence without representation. Artificial Intelligence 47(1-3):139-159.
3. Chomsky, N. 2008. Some simple evo devo theses: how true might they be for language? evolution of human language: the Morris symposium. Unpublished manuscript.
4. Correa, T. L. 2011. A model for transition-based visiospatial pattern recognition. Master's thesis, MIT.
5. Fellbaum, C., ed. 1998. WordNet: An Electronic Lexical Database. MIT Press.
6. Finlayson, M. A. 2008. Collecting semantics in the wild: The story workbench, in naturally inspired artificial intelligence. In Beal Jacob, Paul Bello, N. C. M. C., and Winston, P., eds., Technical Report FS-08-06, Papers from the AAAI Fall Symposium, 46-53. AAAI Press.
7. Finlayson, M. A. 2010. Learning narrative morphologies from annotated folktales. In Proceedings of the 1st International Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts.
8. Forbus, K. D., and Gentner, D. 1989. The structure mapping engine: Algorithm and examples. Artificial Intelligence 41(1):1-63.
9. Gentner, D., and Markman, A. B. 1997. Structure mapping in analogy and similarity. American Psychologist 52(1):45-56.
10. Goldstein, J. 1992. A conflict-cooperation scale for WEIS events data. Journal of Conflict Resolution 36(2):369-385.
11. Jackendoff, R. 1985. Semantics and Cognition. MIT Press.
12. Katz, B. 1997. Annotating the world wide web using natural language. In Proceedings of the 5th RIAO Conference on Computer Assisted Information Searching on the Internet, 136-159.
13. Laird, J. E.; Newell, A.; and Rosenbloom, P. 1987. SOAR: An architecture for general intelligence. Artificial Intelligence 33(1):1-64.
14. Lehnert, W. 1981. Plot units and narrative summarization. Cognitive Science 5(4):293-331.
15. Marr, D. 1982. Vision. Freeman.
16. McClelland, J. L., and Rumelhart, D. E. 1989. Explorations in Parallel Distributed Processing. The MIT Press.
17. Minsky, M. 2006. The Emotion Machine. Simon and Schuster.
18. Morris, M. W., and Peng, K. 1994. Culture and cause: American and Chinese attributions for social and physical events. Journal of Personality and Social Psychology 67(6):949-971.
19. Pearl, J. 1988. Probabilistic Reasoning in Intelligent Systems: networks of plausible inference. Morgan Kaufmann.
20. Rao, S. 1998. Visual Routines and Attention. Ph.D. Dissertation, MIT.
21. Schank, R. C. 1972. Conceptual dependency: A theory of natural language understanding. Cognitive Psychology 3(4):552-631.
22. Talmy, L. 1988. Force dynamics in language and cognition. Cognitive Science 12(1):49-100.
23. Tattersall, I. 1998. Becoming Human. Harcourt.
24. Turing, A. M. 1950. Computing machinery and intelligence. Mind 59(236):433-460.
25. Ullman, S. 1996. High-Level Vision. MIT Press.
26. Vaina, L. M., and Greenblatt, R. 1979. The use of thread memory in amnesic aphasia and concept learning. Working Paper 195, MIT Artificial Intelligence Laboratory.
27. Winston, P. H. 1980. Learning and reasoning by analogy. Communications of the ACM 23(12):689-703.