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CRES: a Competitive Reactive Eco-System Agent Architecture
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-4549-6751
Luleå tekniska universitet.
1998 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

This paper presents CRES, a learning reactive agent architecture for managing limited resources. CRES achieves complicated behavior with simple components, minimizes the need for explicit instructions, and can handle learning without the need for complicated reasoning or the need for each agent to know the state of the entire system. CRES consists of two main components: the reactive agents and the environment. The agents learn by feeding on previous agent generations, and compete to create an emergent behavior. A TV-planner agent has been developed as a proof-of concept for the CRES architecture. It consists of a Java applet that interacts with a user, and a database that stores TV show data, user data, and agent data.

sted, utgiver, år, opplag, sider
Luleå: Luleå tekniska universitet, 1998.
Serie
Teknisk rapport / Luleå tekniska universitet, ISSN 1402-1536 ; 1998:02
HSV kategori
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Identifikatorer
URN: urn:nbn:se:ltu:diva-22374Lokal ID: 29e98b90-29af-11dd-8657-000ea68e967bOAI: oai:DiVA.org:ltu-22374DiVA, id: diva2:995423
Merknad

Godkänd; 1998; 20080524 (ysko)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-02-08bibliografisk kontrollert

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