Revising the Trade-off Between the Number of Agents and Agent Intelligence

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@InProceedings{Komann:2010:EvoCOMPLEX,

• author = "Marcus Komann and Dietmar Fey",
• title = "Revising the Trade-off Between the Number of Agents and Agent Intelligence",
• booktitle = "EvoCOMPLEX",
• year = "2010",
• editor = "Cecilia {Di Chio} and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I. Esparcia-Alcazar and Chi-Keong Goh and Juan J. Merelo and Ferrante Neri and Mike Preuss and Julian Togelius and Georgios N. Yannakakis",
• volume = "6024",
• series = "LNCS",
• pages = "31--40",
• address = "Istanbul",
• month = "7-9 " # apr,
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, finite state machines",
• isbn13 = "978-3-642-12238-5",
• DOI = "doi:10.1007/978-3-642-12239-2_4",
• size = "10 pages",
• abstract = "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.",
• notes = "EvoCOMPLEX'2010 held in conjunction with EuroGP'2010 EvoCOP2010 EvoBIO2010",

}

Genetic Programming entries for Marcus Komann Dietmar Fey

Citations