Paper Info
Title
NATYASASTRA: A Dramatic Game for the Self-Regulation of Social Exchange Processes in MAS.
Abstract
This paper presents a dramatic game for the self-regulation of social exchange processes in multi-agent systems, called Natyasastra, based on the concepts of Drama Theory. The model has five phases of dramatic resolution, which involve feelings, emotions, trust and reputation. Agents with different social exchange strategies interact among each other in order to maximize their strategy-based fitness functions. The objective is to obtain a more natural model than the ones existing in the literature, which are based either on (partially observable) Markov decision processes or in game theory, so that it can be applied in real-world applications. We aim at promoting more balanced and fair multiagent interactions, increasing the number of successful social exchanges and, thus, promoting the continuity of social exchanges. The simulations showed that there is an improvement of fitness along time, as result of the self-regulation of the interactions. The agents have evolved their social exchange strategies, and other strategies, different from the original ones, have emerged in the society, so contributing to this evolution. This game was implemented in NetLogo.
Year
DOI
Venue
2017
10.1007/978-3-319-91587-6_1
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Regulation of social exchange processes,Drama theory,Emotions
Computer science,Microeconomics,Markov decision process,Drama theory,NetLogo,Self,Game theory,Management science,Feeling,Social exchange theory,Reputation
Conference
Volume
ISSN
Citations 
10798
0302-9743
0
PageRank 
References 
Authors
0.34
14
5
Name
Order
Citations
PageRank
Renata Gomes Wotter100.34
Nelson de Farias Traversi200.34
Lucas Tubino Costa300.34
Graçaliz Pereira Dimuro466743.93
Diana F. Adamatti51813.61