Paper Info
Title
The Role of Probability of Learning and Reconnecting in the Evolution of Cooperation
Abstract
Cooperative phenomenon is widely researched within the fields of computational genomics, artificial intelligence, machine learning and data mining technologies. A key idea behind complex system constructed by intelligent agents is to establish cooperation between different agents so as to solve problems more effectively and efficiently than a single agent can do. Understanding the evolutionary mechanisms that promote and maintain cooperative behavior is recognized as a major theoretical problem where the intricacy increases with the complexity of the participating individuals. We presents current research on the effect of the \"probability of learning\" (Pl) and the \"probability of reconnecting\" (Pr) in NIPD game in evolution experiment based on complex network system, static and dynamic. We show that the \"probability of learning\" (Pl) is not the decisive factor on static network but it plays an important role on dynamic network where the \"probability of reconnecting\" (Pr) is not zero.
Year
DOI
Venue
2014
10.1109/DASC.2014.74
DASC
Keywords
Field
DocType
nipd game,intelligent agents,prisoner's dilemma,learning probability,cooperation, artificial intelligence, complex network, prisoner's dilemma,artificial intelligence,evolutionary mechanism,complex network system,multi-agent systems,reconnecting probability,cooperation evolution,complex networks,dynamic network,computational genomics,game theory,complex network,data mining,cooperation,machine learning,cooperative phenomenon,static network,network theory (graphs),sociology,games,erbium
Dynamic network analysis,Intelligent agent,Computer science,Prisoner's dilemma,Game theory,Artificial intelligence,Complex network,Computational genomics,Phenomenon
Conference
Citations 
PageRank 
References 
1
0.37
7
Authors
5
Name
Order
Citations
PageRank
Xiaowei Zhao1154.90
Hong Yu21039.72
Zhenzhen Xu38011.66
Tinlin Tian410.37
Xiujuan Xu54410.82