BibTeX
@MISC{Howley_theeffects,
author = {Enda Howley},
title = {The Effects of Payoff Preferences on Agent Tolerance},
year = {}
}
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Abstract
An objective of multi-agent systems is to build robust intelli-gent systems capable of existing in complex environments. These environments are often open, noisy and subject to rapid, unpredictable changes. This paper will explore how agents can bias their interactions and choices in these com-plex environments. Existing research has investigated how agents can bias their interactions based on factors such as similarity, trust or reputation. Unfortunately, much of this research has ignored how agents are influenced by their pref-erences for certain game payoffs. This paper will show that individual payoff preferences have a significant effect on the behaviors that emerge within an agent environment. We ar-gue that agents must not only determine with whom to in-teract, but also the levels of benefit or risk these interactions should represent. This paper presents a series of game theo-retic simulations examining the effects of agent payoff prefer-ences within an evolutionary setting. Our experiments show that these factors promote tolerance throughout the popula-tion. We provide an experimental benchmark using an almost identical game environment where payoffs are not considered by agents. Furthermore, we also present simulations involv-ing noise, thereby demonstrating the ability of these more tol-erant agents to cope with uncertainty in their environment.
Keyphrases
agent tolerance payoff preference com-plex environment unpredictable change robust intelli-gent system complex environment experimental benchmark tol-erant agent individual payoff preference present simulation involv-ing noise game theo-retic simulation identical game environment agent environment certain game payoff multi-agent system evolutionary setting agent payoff prefer-ences significant effect
