EVOGENTS: Evolving agents

Evolving Agents or EVOGENTS for short is an undergraduate research thesis that demonstrates an alternative approach of applying evolutionary concepts on artificial intelligence. EVOGENTS are agents that live in a virtual world and their goal is to be able to survive. These agents are programmed with...

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Main Authors:	Hermano, Michael, Chu, Shirley B., Pua, Daniel, Tan, Stephen, Victor, Andrei
Format:	text
Published:	Animo Repository 2009
Subjects:	Artificial intelligence Genetic algorithms Evolutionary computation Machine learning Software Engineering
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/1883 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2882/type/native/viewcontent
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-2882
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-28822021-07-29T06:52:25Z EVOGENTS: Evolving agents Hermano, Michael Chu, Shirley B. Pua, Daniel Tan, Stephen Victor, Andrei Evolving Agents or EVOGENTS for short is an undergraduate research thesis that demonstrates an alternative approach of applying evolutionary concepts on artificial intelligence. EVOGENTS are agents that live in a virtual world and their goal is to be able to survive. These agents are programmed with artificial intelligence and the ability to adapt in order for them to be able to handle unanticipated situations. This paper discusses the EVOGENTS system, the algorithms used, and presents the experiment results on the EVOGENTS ability to adapt on different environments. © 2009 IEEE. 2009-12-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1883 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2882/type/native/viewcontent Faculty Research Work Animo Repository Artificial intelligence Genetic algorithms Evolutionary computation Machine learning Software Engineering
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Artificial intelligence Genetic algorithms Evolutionary computation Machine learning Software Engineering
spellingShingle	Artificial intelligence Genetic algorithms Evolutionary computation Machine learning Software Engineering Hermano, Michael Chu, Shirley B. Pua, Daniel Tan, Stephen Victor, Andrei EVOGENTS: Evolving agents
description	Evolving Agents or EVOGENTS for short is an undergraduate research thesis that demonstrates an alternative approach of applying evolutionary concepts on artificial intelligence. EVOGENTS are agents that live in a virtual world and their goal is to be able to survive. These agents are programmed with artificial intelligence and the ability to adapt in order for them to be able to handle unanticipated situations. This paper discusses the EVOGENTS system, the algorithms used, and presents the experiment results on the EVOGENTS ability to adapt on different environments. © 2009 IEEE.
format	text
author	Hermano, Michael Chu, Shirley B. Pua, Daniel Tan, Stephen Victor, Andrei
author_facet	Hermano, Michael Chu, Shirley B. Pua, Daniel Tan, Stephen Victor, Andrei
author_sort	Hermano, Michael
title	EVOGENTS: Evolving agents
title_short	EVOGENTS: Evolving agents
title_full	EVOGENTS: Evolving agents
title_fullStr	EVOGENTS: Evolving agents
title_full_unstemmed	EVOGENTS: Evolving agents
title_sort	evogents: evolving agents
publisher	Animo Repository
publishDate	2009
url	https://animorepository.dlsu.edu.ph/faculty_research/1883 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2882/type/native/viewcontent
_version_	1707059167476318208

EVOGENTS: Evolving agents

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