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Description
  • This paper gives a concise overview how to design and test agent architecture enabling adaptive behavior of agents in Artificial Life (AL) environments. The AL environment is special in the sense that the agent's environment is very diverse and dynamic. Agent has to exhibit many different behaviors. The typical behaviors are foraging, mating, roaming, fighting, predator avoidance etc. The most important properties of agents in AL are adaptation, reactive behavior and survival. The experiments will be performed in simulations, where several model environments and preconfiguration of agents are tested in the existing ALS (Artificial Life Simulator) that has been developed to test the predecessor of the agent architecture presented here. A visualization framework has supported the analysis of the experiments. It allows better analysis of huge amount of data.
  • This paper gives a concise overview how to design and test agent architecture enabling adaptive behavior of agents in Artificial Life (AL) environments. The AL environment is special in the sense that the agent's environment is very diverse and dynamic. Agent has to exhibit many different behaviors. The typical behaviors are foraging, mating, roaming, fighting, predator avoidance etc. The most important properties of agents in AL are adaptation, reactive behavior and survival. The experiments will be performed in simulations, where several model environments and preconfiguration of agents are tested in the existing ALS (Artificial Life Simulator) that has been developed to test the predecessor of the agent architecture presented here. A visualization framework has supported the analysis of the experiments. It allows better analysis of huge amount of data. (en)
Title
  • Adaptation of Intelligent Agents in Artificial Life Domain
  • Adaptation of Intelligent Agents in Artificial Life Domain (en)
skos:prefLabel
  • Adaptation of Intelligent Agents in Artificial Life Domain
  • Adaptation of Intelligent Agents in Artificial Life Domain (en)
skos:notation
  • RIV/68407700:21230/05:00118265!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 511355
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/05:00118265
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Artificial Life; Intelligent Agents (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [79E1ECAFE320]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Workshop 2005
http://linked.open...in/vavai/riv/obor
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nahodil, Pavel
  • Kadleček, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 80-01-03201-9
http://localhost/t...ganizacniJednotka
  • 21230
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