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A Trust Model of E-commerce Based on Iterated Prisoner's Dilemma Game

Chun Guan, Jun Hu, Xinzhou Lu
2015 International Journal of u- and e- Service, Science and Technology  
The balance between profit and information truth constitutes the iterated prisoner's dilemma game.  ...  To solve the problem of advisor untruthful feedback, a trust model based on iterated prisoner's dilemma game theory is proposed in this paper. 339 opponent i node is below a certain threshold, then the  ...  Park proposes to use an incremental active learning for modeling opponents with iterative prisoner's dilemma games. It plays games against them and infers their strategy from the experience.  ... 
doi:10.14257/ijunesst.2015.8.8.34 fatcat:w7r6m6dsc5djlchlsmssqe2ige

Individual Heterogeneous Learning with Global Centrality in Prisoner Dilemma Evolutionary Game on Complex Network

Zundong Zhang, Yifang Zhang, William Danziger
2020 International Journal of Computational Intelligence Systems  
In this paper, we design a method for describing the heterogeneous learning ability by taking advantage of a pre-factor x related to the node betweenness. And a parameter is used to tune x .  ...  Whereas many theoretical studies have found that the heterogeneous learning ability effects cooperation rate, the individual learning ability in networks is still not well understood.  ...  Figure 7 7 The change of the cooperation rate with 10,000 iterations. Table 1 1 The prisoner's dilemma game's (PDG) payoff matrix.  ... 
doi:10.2991/ijcis.d.200603.002 fatcat:riacghvcc5hyhiomohklnv26bi

Learning and Innovative Elements of Strategy Adoption Rules Expand Cooperative Network Topologies

Shijun Wang, Máté S. Szalay, Changshui Zhang, Peter Csermely, Enrico Scalas
2008 PLoS ONE  
models in repeated, multi-agent Prisoners Dilemma and Hawk-Dove games.  ...  These results suggest that a balanced duo of learning and innovation may help to preserve cooperation during the re-organization of real-world networks, and may play a prominent role in the evolution of  ...  Acknowledgments The useful comments of our Editor, Enrico Scalas, referees, including Michael König and Bence Toth, as well as Robert Axelrod, János Kertész, István A.  ... 
doi:10.1371/journal.pone.0001917 pmid:18398453 pmcid:PMC2275790 fatcat:ic43vj6ad5btphfmmbryfuzpie

The influence of heterogeneous learning ability on the evolution of cooperation

Xiaogang Li, Yini Geng, Chen Shen, Lei Shi
2019 Scientific Reports  
In this paper, we design a simple coevolution model to investigate the role of heterogeneous learning ability on the evolution of cooperation.  ...  In particular, we consider this coevolutionary model separately applying to both cooperators and defectors (rule I), only cooperators (rule II), as well as only defectors (rule III) in spatial prisoner's  ...  Acknowledgements This work is supported by the National Natural Science Foundation of China (Grants No. 11671348 and 31760105) and the Yunnan Postgraduate Scholarship Award.  ... 
doi:10.1038/s41598-019-50451-2 pmid:31558763 pmcid:PMC6763452 fatcat:zmg7bu32yvhjtfrafa7gu5alrm

Cheap Talk, Reinforcement Learning, and the Emergence of Cooperation

J. McKenzie Alexander
2015 Philosophy of Science  
I show how, in a social network model of cheap talk with reinforcement learning, cheap talk does enable the emergence of cooperation, provided that individuals also temporally discount the past.  ...  Cheap talk has often been thought incapable of supporting the emergence of cooperation because costless signals, easily faked, are unlikely to be reliable (Zahavi and Zahavi, 1997) .  ...  Figure 3 : 3 The emergence of cooperation in the Prisoner's Dilemma under cheaptalk, reinforcement learning, and discounting the past.  ... 
doi:10.1086/684197 fatcat:6cuwuxpt4zhzxlmn7foi4ii7wq

Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning

Han Yang Quek, Chi Keong Goh
2007 2007 IEEE Symposium on Computational Intelligence and Games  
This paper examines the performance and adaptability of evolutionary, learning and memetic strategies to different environment settings in the Iterated Prisoner's Dilemma (IPD).  ...  In the paradigm, learning serves as a form of directed search to guide evolutionary strategies to attain good strategy traits while evolution helps to minimize disparity in performance between learning  ...  ITERATED PRISONER'S DILEMMA The IPD problem pertains to the study of short term rational decision of self-interest against the long term decision of overall interest.  ... 
doi:10.1109/cig.2007.368077 dblp:conf/cig/QuekG07 fatcat:5kzpjvpt3fauxkvfibvflqx54m

Analyzing Social Network Structures in the Iterated Prisoner's Dilemma with Choice and Refusal [article]

Mark D. Smucker , E. Ann Stanley, Dan Ashlock
1995 arXiv   pre-print
The Iterated Prisoner's Dilemma with Choice and Refusal (IPD/CR) is an extension of the Iterated Prisoner's Dilemma with evolution that allows players to choose and to refuse their game partners.  ...  In particular, the social networks of interesting populations and their evolution are examined.  ...  Many thanks to the Iowa State Physics and Astronomy Department, especially the Gamma Ray Astronomy research group, for providing computer facilities and o ce space to Mark Smucker.  ... 
arXiv:adap-org/9501002v1 fatcat:6jkniyxcybgrdhjzck6jrsif7y

A General N-Person Game Solver for Pavlovian Agents

Miklos N. Szilagyi
2015 Complex Systems  
It has superior capabilities in at least two respects: (1) the payoff functions can be represented by arbitrary functions, even in parameterized form; and (2) it is very easy to investigate the multidimensional  ...  A new N-person game solver is presented in this paper.  ...  Acknowledgments The author appreciates the interest of Chao Meng, Rohit Chacko Philip, and Marcos Zuzuárregui in this work.  ... 
doi:10.25088/complexsystems.24.3.261 fatcat:kfutn7fjonganhqij6o5uok5xa

Prisoner's dilemma and the pigeon: Control by immediate consequences

Leonard Green, Paul C. Price, Merle E. Hamburger
1995 Journal of The Experimental Analysis of Behavior  
In three experiments pigeons played (i.e., chose between two colored keys) iterated prisoner's dilemma and other 2 X 2 games (2 participants and 2 options) against response strategies programmed on a computer  ...  Implications for the study of cooperation and competition in both humans and nonhumans are discussed.  ...  It is important to distinguish between a one-shot prisoner's dilemma (in which the players meet only once) and iterated games (in which the players meet in a series of prisoner's dilemmas).  ... 
doi:10.1901/jeab.1995.64-1 pmid:16812760 pmcid:PMC1349833 fatcat:g7mlooarfbhkniu5h273llnqri

Payoff-based accumulative effect promotes cooperation in spatial prisoner's dilemma

Liu Yong-Kui, Li Zhi, Chen Xiao-Jie, Wang Long
2010 Chinese Physics B  
We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner's dilemma on a square lattice.  ...  The associated exponents agree approximately with the two-dimensional directed percolation and depend weakly on the value of the decaying factor.  ...  In summary, we have studied the prisoner's dilemma on a square lattice where strategy updating is based on the accumulative gains.  ... 
doi:10.1088/1674-1056/19/9/090203 fatcat:7bsqvgfexzhklpkwbkydhytyue

Interaction dynamics of two reinforcement learners

Walter J. Gutjahr
2006 Central European Journal of Operations Research  
For reward structures derived from [2 × 2] bimatrix games, fixed points are determined, and for the special case of the prisoner's dilemma, the dynamics is analyzed in more detail on the assumptions that  ...  In the presented model, the response of one agent to the other agent's move is both the stimulus for the other agent's next move and part of the consequence for the other agent's previous move.  ...  Acknowledgement - The author wants to express thanks to Anselm Eder for fruitful discussions on the subject of the paper, to Martin Posch for several valuable hints, and to an anonymous referee for very  ... 
doi:10.1007/s10100-006-0160-y fatcat:56xy5uh2ejawham7pf23kud3fq

Cooperation on Interdependent Networks by Means of Migration and Stochastic Imitation

Sayantan Nag Chowdhury, Srilena Kundu, Maja Duh, Matjaž Perc, Dibakar Ghosh
2020 Entropy  
Evolutionary game theory in the realm of network science appeals to a lot of research communities, as it constitutes a popular theoretical framework for studying the evolution of cooperation in social  ...  Our results provide a rationale for engineering better social systems at the interface of networks and human decision making under testing dilemmas.  ...  Acknowledgments: The authors gratefully acknowledge the anonymous referees for their insightful suggestions that helped in considerably improving the manuscript.  ... 
doi:10.3390/e22040485 pmid:33286258 pmcid:PMC7516967 fatcat:fre6t6bfmrbt5bbhksihivyyji

Co-Evolutionary Learning Of Contextual Asymmetric Actors

Siang Yew Chong, Christopher Hill, Xin Yao
2009 ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera  
Co-evolutionary learning of the iterated prisoner's dilemma (IPD) has been used to model and simulate interactions, which may not be realistic due to assumptions of a fixed and symmetric payoff matrix  ...  We study how different actor roles modelled by fixed and asymmetric payoff matrices can have an impact to the outcome of co-evolutionary learning.  ...  For example, in a simple single iteration game, when T > R > P > S, one obtains the prisoner's dilemma game, where the best choice is to defect.  ... 
doi:10.7148/2009-0827-0833 dblp:conf/ecms/ChongHY09 fatcat:jyasd5apireuxkpm7kz624r2ba

Evolution, neural networks, games, and intelligence

K. Chellapilla, D.B. Fogel
1999 Proceedings of the IEEE  
This paper describes efforts to hybridize neural and evolutionary computation to learn appropriate strategies in zeroand nonzero-sum games, including the iterated prisoner's dilemma, tic-tac-toe, and checkers  ...  The obstacle then comes in choosing the appropriate representation and learning algorithm. Neural networks and evolutionary algorithms provide useful means for addressing these issues.  ...  EVOLVING NEURAL STRATEGIES IN THE ITERATED PRISONER'S DILEMMA The conditions that foster the evolution of cooperative behaviors among individuals of a species are rarely well understood.  ... 
doi:10.1109/5.784222 fatcat:n663qe3ebjhozc22elza7rfiva

Cooperation in the Iterated Prisoner's Dilemma Is Learned by Operant Conditioning Mechanisms

D. A. Gutnisky, B. S. Zanutto
2004 Artificial Life  
The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative behavior in populations of selfish agents.  ...  Although cooperation in the iterated prisoner's dilemma (IPD) has been studied for over twenty years, most of this research has been focused on strategies that involve nonlearned behavior.  ...  Zelmann, and Eng. S. Lew for their helpful comments on this manuscript.  ... 
doi:10.1162/1064546041766479 pmid:15479547 fatcat:toul5cxsxfchtnqyeotipxdnfm
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