Are there representations in embodied evolved agents? Taking measures

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2801, Issue , 2003, Pages 743-752

  Avraham, Hezi ^a   Chechik, Gal ^b   Ruppin, Eytan ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; INFORMATION THEORY; NEUROLOGY; ARTIFICIAL INTELLIGENCE; COMPUTERS;

CONCEPTUAL REPRESENTATION; EMBODIES AGENTS; NEURAL PATTERNS; NEUROSCIENCE;

ARTIFICIAL INTELLIGENCE; INFORMATION THEORY;

ANIMAT AGENT; EMBODIED AGENT; INFORMATION THEORETIC MEASURE; INTERNAL STRUCTURE; NEURAL PATTERNS; QUANTITATIVE MEASURES; VISUAL CATEGORIZATION; WORK STUDY;

EID: 7444245197     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39432-7_80     Document Type: Conference Paper

References (11)

1. Brooks, R.A.: Intelligence without representation. Artificial Intelligence 47 (1991) 139-159
2. Cliff, D., Noble, J.: Knowledge-based vision and simple visual machines. Philosophical Transactions of the Royal Society: Biological Sciences 352 (1997) 1165-1175
3. Pfeifer, R., Scheier, C.: Sensory-motor coordination: the metaphor and beyond. Robotics and Autonomous Systems, Special Issue on "Practice and Future of Autonomous Agents" 20 (1997) 157-178
4. Kosslyn, S.M., Chabris, C.F., Marsolek, C.J., Koenig, O.: Categorical versus coordinate spatial relations: computational analyses and computer simulations. Journal of Experimental Psychology: Human Perception and Performance 18 (1992) 562-577
5. Cook, N.D.: Correlations between input and output units in neural networks. Cognitive Science 19 (1995) 563-574
6. Kosslyn, S., Chabris, C., Baker, D.: Neural network models as evidence for different types of visual representations. Cognitive Science 19 (1995) 575-579
7. Usher, M.: A statistical referential theory of content: Using information theory to account for misrepresentation. Mind and Language 16 (2001) 311-334
8. Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evolutionary Computation 10 (2002) 99-127
9. Gomez, F., Miikkulainen, R.: Incremental evolution of complex general behavior. Adaptive Behavior 5 (1997) 317-342
10. Cover, T., Thomas, J.: The elements of information theory. Plenum Press, New York (1991)
11. Chechik, G., Tishby, N.: Extracting relevant structures with side information. In Becker, S., Thrun, S., Obermayer, K., eds.: Advances in Neural Information Processing Systems 15 (NIPS-2002), MIT press (2003)