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ICMAS
1998
15 years 8 months ago
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Wilfried Brauer, Gerhard Weiß
AI
2000
Springer
15 years 6 months ago
BIG: An agent for resource-bounded information gathering and decision making
The World Wide Web has become an invaluable information resource but the explosion of available information has made web search a time consuming and complex process. The large num...
Victor R. Lesser, Bryan Horling, Frank Klassner, A...
CMOT
2000
123views more  CMOT 2000»
15 years 6 months ago
Nonadditive Shortest Paths: Subproblems in Multi-Agent Competitive Network Models
A variety of different multi-agent (competitive) network models have been described in the literature. Computational techniques for solving such models often involve the iterative...
Steven A. Gabriel, David Bernstein
IAT
2007
IEEE
16 years 29 days ago
Simple Algorithms for Representing Tag Frequencies in the SCOT Exporter
In this paper we describe the SCOT Exporter and its algorithms to create instance data based on the SCOT (Social Semantic Cloud of Tags) ontology for sharing and reusing tag data....
Hak Lae Kim, Sung-Kwon Yang, John G. Breslin, Hong...
ECAL
2005
Springer
16 years 4 days ago
All Else Being Equal Be Empowered
The classical approach to using utility functions suffers from the drawback of having to design and tweak the functions on a case by case basis. Inspired by examples from the anim...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...