Evolving agents: Communication and cognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3505 LNAI, Issue , 2005, Pages 37-49

  Perlovsky, Leonid ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; REAL TIME SYSTEMS; SENSORS;

COGNITIVE-LANGUAGE MODELS; FUZZY DYNAMIC LOGIC; INTEGRATED COMMUNICATION; REAL-TIME SENSOR SIGNALS;

COMPUTER PROGRAMMING;

EID: 26944442378     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11492870_4     Document Type: Conference Paper

References (36)

1. Boury-Brisset, A-C: Ontology-based Approach for Information Fusion (2005)
2. Pinker, S.: The Language Instinct: How the Mind Creates Language. Harper Perennial (2000)
3. Jackendoff, R.: Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford University Press, New York, NY (2002)
4. Pinker, S.: Words and Rules: The Ingredients of Language Harper Perennial (2000)
5. Perlovsky, L.I.: Neural Networks and Intellect: using model-based concepts. Oxford University Press, New York, NY (2001)
6. Rieger, B.B., ed. Empirical Semantics II. A Collection of New Approaches in the Field. Quantitative Linguistics, v. 13, Brockmeyer, Bochum, Germany (1981)
7. Mehler,A.: Components of a Model of Context-Sensitive Hypertexts. In: Journal of Universal Computer Science (J.UCS) 8(10) (2002) 924-943
8. For the discussions and further references see: Grossberg, S. (1988). Neural Networks and Natural Intelligence. MIT Press, Cambridge, MA.
9. Meystel, A.M., Albus, J.S. (2001). Intelligent Systems: Architecture, Design, and Control. Wiley, New York; also.
10. Perlovsky, L.I.: Conundrum of Combinatorial Complexity. IEEE Trans. PAMI, 20(6) (1998) 666-670
11. Bellman, R.E.: Adaptive Control Processes. Princeton University Press, Princeton, NJ (1961)
12. Minsky, M.L.: Semantic Information Processing. The MIT Press, Cambridge, MA (1968)
13. Chomsky, N.: Language and Mind. Harcourt Brace Javanovich, New York, NY (1972)
14. Chomsky, N.: Principles and Parameters in Syntactic Theory. In N.Hornstein and D.Lightfoot (eds), 1981, Explanation in Linguistics. The Logical Problem of Language Acquisition, Longman, London (1981)
15. Perlovsky, L.I.: Gödel Theorem and Semiotics. Proceedings of the Conference on Intelligent Systems and Semiotics '96. Gaithersburg, MD, 2 (1996) 14-18
16. Jang,J.-S.R., Sun,C.-T., and Mizutani, E.: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prentice Hall, Upper Saddle River, NJ (1996)
17. Grossberg, S. & Levine, D.S.: Neural dynamics of attentionally modulated Pavlovian conditioning: blocking, inter-stimulus interval, and secondary reinforcement. Psychobiology, 15(3) (1987) 195-240
18. In fact there are many levels between the retina, visual cortex, and object-models; Zeki, S. (1993). A Vision of the Brain. Blackwell, Oxford, England;
19. L. M. Chalupa, J. S. Werner, 2003, The Visual Neurosciences, MIT Press
20. Perlovsky, L.I.: Mathematical Concepts of Intellect. Proc. World Congress on Neural Networks, San Diego, CA; Lawrence Erlbaum Associates, NJ, pp.1013-16;
21. Perlovsky, L.I.(1997). Physical Concepts of Intellect. Proc. Russian Academy of Sciences, 354(3) (1996) 320-323
22. Linnehan, R., Mutz, C., Perlovsky, L.I., Weijers, B., Schindler, J., Brockett, R.: Detection of Patterns Below Clutter in Images. Int. Conf. On Integration of Knowledge Intensive Multi-Agent Systems, Cambridge, MA Oct.1-3, 2003 (2003)
23. Mehler, A.: Hierarchical Orderings of Textual Units. Proceedings of the 19th International Conference on Computational Linguistics, COLING 2002, Taipei. San Francisco: Morgan Kaufmann (2002) 646-652
24. Perlovsky, L.I.: Integrating Language and Cognition. IEEE Connections, Feature Article, 2(2) (2004) 8-12
25. Perlovsky, L.I.: Integration of Information in Human Brain. Int. Conf. On Integration of Knowledge Intensive Multi-Agent Systems, Cambridge, MA Oct.1-3, 2003 (2003)
26. th Int. Conf. On Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU-198), Paris, (1998) 351-358
27. Fontanari, J.F. and Perlovsky, L.I.: Evolution of communication in a community of simple-minded agents. IEEE Int. Conf. On Integration of Knowledge Intensive Multi-Agent Sys., Waltham, MA (2005)
28. Fontanari, J.F. and Perlovsky, L.I.: Meaning Creation and Modeling Field Theory. IEEE Int. Conf. On Integration of Knowledge Intensive Multi-Agent Sys., Waltham, MA (2005)
29. Kant, I.: (1781). Critique of Pure Reason. Tr. J.M.D. Meiklejohn, 1943. Willey Book, New York, NY
30. Kant, I.: (1790). Critique of Judgment. Tr. J.H. Bernard, 1914, 2nd ed., Macmillan & Co., London
31. Kant, I.: (1788). Critique of Practical Reason. Tr. J.H Bernard, 1986, Hafner
32. Carpenter, G.A. & Grossberg, S.: A massively parallel architecture for a self-organizing neural pattern recognition machine, Computer Vision, Graphics and Image Processing, 37 (1987) 54-115
33. Aristotle, IV BC, Metaphysics, tr. W.D.Ross, Complete Works of Aristotle, Ed.J.Barnes, Princeton, NJ 1995
34. Jung, C.G.: Archetypes of the Collective Unconscious. In the Collected Works, v.9,II, Bollingen Series XX, 1969, Princeton University Press, Princeton, NJ (1934)
35. Deacon, T.W. The Symbolic Species: The Co-Evolution of Language and the Brain. W.W. Norton & Company (1998)
36. Pribram, K.: Languages of the Brain. Prentice Hall (1971)