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CRES: a Competitive Reactive Eco-System Agent Architecture
Luleå tekniska universitet.
Luleå tekniska universitet.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4549-6751
Luleå tekniska universitet.
1998 (English)Report (Other academic)
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.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 1998.
Series
Technical report / Luleå University of Technology, ISSN 1402-1536 ; 1998:02
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-22374Local ID: 29e98b90-29af-11dd-8657-000ea68e967bOAI: oai:DiVA.org:ltu-22374DiVA, id: diva2:995423
Note

Godkänd; 1998; 20080524 (ysko)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-02-08Bibliographically approved

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Output format
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