The importance of representing cognitive processes in multi-agent models

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

Volumn 2130, Issue , 2001, Pages 759-766

  Edmonds, Bruce ^a   Moss, Scott ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC TRADING; MULTI AGENT SYSTEMS; NEURAL NETWORKS;

COGNITIVE MODEL; COGNITIVE PROCESS; MULTI AGENT; MULTI-AGENT MODEL; POSITIVE EXAMPLES; STOCK MARKET MODEL; TARGET SYSTEMS;

SOFTWARE AGENTS;

EID: 84958986080     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44668-0_106     Document Type: Conference Paper

References (8)

1. Edmonds, B. (2000) The Use of Models - making MABS actually work. Lecture Notes in Artificial Intelligence, 1979:15-32.
2. Chattoe, E. (1998) Just How (Un)realistic are Evolutionary Algorithms as Representations of Social Processes?, Journal of Artificial Societies and Social Simulation, 1(3),
3. Chialvo, D. R., Bak, P. (1999) Learning from mistakes, Neuroscience 90:1137-1148.
4. Mayer, T. (1975). Selecting Economic Hypotheses by Goodness of Fit. Econ. J., 85:877-883.
5. Montana, D. J. (1995). Strongly Typed Genetic Programming, Evol. Comput., 3:199-230.
6. Moss, S. (2001). Game Theory: Limitations and an Alternative, Journal of Artificial Societies and Social Simulation. 4(2),
7. Palmer, R.G. et al. (1994). Artificial Economic Life - A Simple Model of a Stockmarket. Physica D, 75:264-274.
8. Wolpert, D. H. and Macready, W. G. (1995) No Free Lunch Theorems for Search, Technical Report, Santa Fe Institute, Number SFI-TR-95-02-010, 1995.