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» Adapting Game-Playing Agents to Game Requirements
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AAMAS
2006
Springer
13 years 7 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
ATAL
2009
Springer
14 years 1 months ago
Altruism and agents: an argumentation based approach to designing agent decision mechanisms
We present an argument-based qualitative decision-making framework in which the social values promoted or demoted by alternative action-options are explicitly represented. We show...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...
AIIDE
2007
13 years 9 months ago
Automatic Rule Ordering for Dynamic Scripting
The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
Timor Timuri, Pieter Spronck, H. Jaap van den Heri...
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...
NIPS
2007
13 years 8 months ago
Computing Robust Counter-Strategies
Adaptation to other initially unknown agents often requires computing an effective counter-strategy. In the Bayesian paradigm, one must find a good counterstrategy to the inferre...
Michael Johanson, Martin Zinkevich, Michael H. Bow...