Fey D (2010)
Publication Type: Conference contribution
Publication year: 2010
Publisher: Springer-verlag
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages Range: 31-40
Conference Proceedings Title: EVOApplications 2010
Event location: Istanbul
DOI: 10.1007/978-3-642-12239-2-4
Emergent agents are a promising approach to handle complex systems. Agent intelligence is thereby either defined by the number of states and the state transition function or the length of their steering programs. Evolution has shown to be successful in creating desired behaviors for such agents. Genetic algorithms have been used to find agents with fixed numbers of states and genetic programming is able to balance between the steering program length and the costs for longer programs. This paper extends previous work by further discussing the relationship between either using more agents with less intelligence or using fewer agents with higher intelligence. Therefore, the Creatures' Exploration Problem with a complex input set is solved by evolving emergent agents. It shows that neither a sole increase in intelligence nor amount is the best solution. Instead, a cautious balance creates best results. © 2010 Springer-Verlag Berlin Heidelberg.
APA:
Fey, D. (2010). Revising the Trade-off between the Number of Agents and Agent Intelligence. In EVOApplications 2010 (pp. 31-40). Istanbul: Springer-verlag.
MLA:
Fey, Dietmar. "Revising the Trade-off between the Number of Agents and Agent Intelligence." Proceedings of the EVOApplications 2010, Istanbul Springer-verlag, 2010. 31-40.
BibTeX: Download