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ATAL
2010
Springer
13 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
AAMAS
2012
Springer
12 years 2 months ago
Using argumentation to model agent decision making in economic experiments
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 6 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
AGENTS
1999
Springer
13 years 10 months ago
Shopbot Economics
Abstract. Shopbots are agents that search the Internet for information pertaining to the price and quality of goods or services. With the advent of shopbots, a dramatic reduction i...
Jeffrey O. Kephart, Amy R. Greenwald
AI
2004
Springer
13 years 11 months ago
On Customizing Evolutionary Learning of Agent Behavior
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...
Jörg Denzinger, Alvin Schur