A Primer on Opportunism Viewed from the Perspective of Multi-Agent Systems - Couverture souple

Luo, Jieting; Meyer, John-Jules Ch.

 
9781952751165: A Primer on Opportunism Viewed from the Perspective of Multi-Agent Systems
Couverture souple
ISBN 10 : 1952751160 ISBN 13 : 9781952751165
Editeur : Eliva Press, 2020

Synopsis

Opportunistic behavior is a selfish behavior that takes advantage of knowledge asymmetry and results in promoting agents' own value but demoting other agents' value. It commonly exists in business transactions and social interactions, thereby gaining much attention and investigation from social science. In the context of multi-agent systems, it is normal that knowledge is distributed among different agents, which creates the opportunity for agents to perform opportunistic behavior to other agents. Since opportunistic behavior has undesirable results for other agents in the system, the aim of this book is to eliminate such a selfish behavior from the system. We first propose a formal account of opportunism based on the situation calculus to have a thorough understanding of opportunism. Because opportunistic behavior has undesirable results for other agents in the system but cannot be observed indirectly, there has to be a monitoring mechanism that can detect the performance of opportunistic behavior. We secondly provide a logical framework to specify monitoring approaches for opportunism. In order for monitoring and eliminating mechanisms to be put in place, it is important to know in which context agents will or are likely to perform opportunistic behavior. Therefore, we develop a framework to reason about agents' opportunistic propensity. Finally, we reach our goal through designing two mechanisms for eliminating opportunism.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Eliva Press
Date d'édition
2020
Langue
anglais
ISBN 10 
1952751160
ISBN 13 
9781952751165
Reliure
Broché
Nombre de pages
170
Coordonnées du fabricant
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