About: Adaptive Agents for Artificial Life Domain

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Adaptation and real time behavior becomes a necessity for agents that want to survive in Artificial Life environments. The neurodynamic reinforcement learning approach - Q-learning where Q-factors are represented using neural networks, overcomes problems of the classical unsupervised algorithms. This research that is mainly focused on design of agent architectures for Artificial Life introduces the concepts of parallel and dynamic Q-spaces, where the learned Q-factors are divided into separate action-state spaces that correspond to independent behaviors. Q-factors are then combined across these spaces based on relationship among higher-level behaviors. A simulated Artificial Life environment with Artificial Life agents has been used as a test bed. The research is being conducted in the Artificial Life domain. The proposed techniques will be useful in different domains also. Adaptation and real time behavior becomes a necessity for agents that want to survive in Artificial Life environments. The neurodynamic reinforcement learning approach - Q-learning where Q-factors are represented using neural networks, overcomes problems of the classical unsupervised algorithms. This research that is mainly focused on design of agent architectures for Artificial Life introduces the concepts of parallel and dynamic Q-spaces, where the learned Q-factors are divided into separate action-state spaces that correspond to independent behaviors. Q-factors are then combined across these spaces based on relationship among higher-level behaviors. A simulated Artificial Life environment with Artificial Life agents has been used as a test bed. The research is being conducted in the Artificial Life domain. The proposed techniques will be useful in different domains also. (en)
Title	Adaptive Agents for Artificial Life Domain Adaptive Agents for Artificial Life Domain (en)
skos:prefLabel	Adaptive Agents for Artificial Life Domain Adaptive Agents for Artificial Life Domain (en)
skos:notation	RIV/68407700:21230/04:00101770!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Nahodil, Pavel Kadleček, David
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	553509
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/04:00101770
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Adaptivity; Agents; Artificial Life; Ethology; Q-Learning; Reinforcement Learning; Robotics (en)
http://linked.open.../riv/klicoveSlovo	Reinforcement Learning Ethology Artificial Life Robotics Agents Adaptivity Q-Learning
http://linked.open...odStatuVydavatele	GR - Řecká republika
http://linked.open...ontrolniKodProRIV	[0D04AE7A6EB5]
http://linked.open...i/riv/nazevZdroje	WSEAS Transactions on Systems
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...v/svazekPeriodika	6
http://linked.open...iv/tvurceVysledku	Nahodil, Pavel Kadleček, David
issn	1109-2777
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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