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Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning
2007
2007 IEEE Symposium on Computational Intelligence and Games
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This paper examines the performance and adaptability of evolutionary, learning and memetic strategies to different environment settings in the Iterated Prisoner's Dilemma (IPD). ...
A memetic adaptation framework is devised for IPD strategies to exploit the complementary features of evolution and 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
進化と学習の相互作用に対する空間的局所性の影響
The Effect of the Spatial Locality on the Baldwin Effect
2002
Transactions of the Japanese society for artificial intelligence
The Effect of the Spatial Locality on the Baldwin Effect
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We adopted a two-dimensional model of the evolution of strategies for Iterated Prisoner's Dilemma (IPD) as a dynamic environment, introduced phenotypic plasticity into strategies, and conducted computational ...
keywords: Baldwin effect, spatial locality, evolution of the phenotypic plasticity, iterated prisoner's dilemma, artificial life. ...
We adopted a two-dimensional model of the evolution of strategies for Iterated Prisoner's Dilemma (IPD) as a dynamic environment, introduced phenotypic plasticity into strategies, and conducted computational ...
doi:10.1527/tjsai.17.373
fatcat:3sseszmbwjh67k4dqnlqzaoxtq
Learning and Evolution Affected by Spatial Structure
[chapter]
2006
Lecture Notes in Computer Science
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In this study, we explore the roles of learning and evolution in a non-cooperative autonomous system through a spatial IPD (Iterated Prisoner's Dilemma) game. ...
First, we propose a new agent model playing the IPD game; the game has a gene of the coded parameters of reinforcement learning. The agents evolve and learn during the course of the game. ...
Conclusion We studied the Prisoner's Dilemma game on the spatial structure played by agents who learn and evolve. We proposed an agent model incorporating learning and evolution of strategy. ...
doi:10.1007/978-3-540-36668-3_69
fatcat:6ooe6qwpazhcxmzazi23px642m
Acquisition of general adaptive features by evolution
[chapter]
1998
Lecture Notes in Computer Science
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Multiple populations are evolved in an evolutionary algorithm structured as a cellular automaton with states drawn from a rich set of prisoner's dilemma strategies. ...
We find statistically significant appearance of general adaptive features in a spatially distributed population of prisoner's dilemma playing agents in a noisy environment. ...
The Prisoner's Dilemma Prisoner's dilemma is a two player simultaneous game. The game is explored in detail with many excellent examples in The Evolution of Cooperation by Robert Axelrod [2] . ...
doi:10.1007/bfb0040761
fatcat:7uq5r5rwzrhtvn5dvwxts3yinm
Prisoner's Dilemma Game on Complex Networks with Agents' Adaptive Expectations
2012
Journal of Artificial Societies and Social Simulation
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Acknowledgements The author is supported by National Natural Science Foundation of China (Grants No. 71071061, No. 61173019) and the Major Subject of Research Project in Philosophy and Social Science, ...
Ministry of Education (No. 10JZD0006). ...
The adjustment of expectation embodies the adaptation and learning ability of the agents in the evolution process. ...
doi:10.18564/jasss.2009
fatcat:ex2wyuzdcbaqvhcp2czcvuivqi
Multi-Miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method
2019
2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
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We further propose a method to improve the cooperation-probability of miners in the pool by introducing a Zero-Determinant strategy and a Temporal Difference learning method (TD(λ)). ...
Such process is intentionally designed to be resource-intensive and time consuming so that the rate of block generation remains steady. ...
Prisoner's dilemma Prisoner's dilemma was first proposed by Kuh et al [9] . ...
doi:10.1109/ithings/greencom/cpscom/smartdata.2019.00131
dblp:conf/ithings/OuDLSTB19
fatcat:s7ht4nsfljdijgfdv7uff34us4
The Efficacy of Choosing Strategy with General Regression Neural Network on Evolutionary Markov Games
2021
IPTEK: The Journal for Technology and Science
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Prisoner's dilemma is a problem that uses the method and output results showing the overlapping the human strategy-choosing line and GRNN strategy-choosing line after 48 iterations, and they choose the ...
Also, the error rate of the GRNN training by Tit for Tat (TFT) strategy is lower than similar work and shows a better result. ...
The most successful strategy for playing the prisoner's dilemma is Tit for Tat (TFT) strategy submitted by Anatol Rapoport. ...
doi:10.12962/j20882033.v32i1.7074
fatcat:44ijptxtyfcsjlinz2e7s5eiqi
Predicting human decision making in psychological tasks with recurrent neural networks
[article]
2022
arXiv
pre-print
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of the Iowa Gambling Task and the multi-agent scenario of the Iterated Prisoner's Dilemma. ...
for the distribution of strategies adopted by each group. ...
the individual strategies, in the Iowa Gambling task, and then significantly outperforms the state-of-the-art in the Iterated Prisoner's Dilemma task. ...
arXiv:2010.11413v3
fatcat:uevk5sv3gbfypmbwk4kvkbkqja
Individual Heterogeneous Learning with Global Centrality in Prisoner Dilemma Evolutionary Game on Complex Network
2020
International Journal of Computational Intelligence Systems
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It is known that an individual's learning ability is influenced not only by its first order neighbors, but also by higher order individuals, and even by the whole network. ...
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 . ...
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
Predicting human decision making in psychological tasks with recurrent neural networks
2022
PLoS ONE
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of the Iowa Gambling Task and the multi-agent scenario of the Iterated Prisoner's Dilemma. ...
for the distribution of strategies adopted by each group. ...
the individual strategies, in the Iowa Gambling task, and then significantly outperforms the state-of-the-art in the Iterated Prisoner's Dilemma task. ...
doi:10.1371/journal.pone.0267907
pmid:35639730
pmcid:PMC9154096
fatcat:5zv4k4ix5zh2zbf2xsj2m4skom
Page 128 of Behavior Research Methods Vol. 33, Issue 2
[page]
2001
Behavior Research Methods
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
The evolution of strategies in the iterated prisoner’s dilemma. In L. Davis (Ed.), Genetic algorithms and simulated an¬ nealing (pp. 32-41). Los Altos, CA: Morgan Kaufman.
Battalio. R., Samuelson. ...
Multiagent reinforcement learning in the iterated prisoner’s dilemma. Biosystems, 31, 148-166. Schick, F. (1997). Making choices: A recasting of decision theory. New York: Cambridge University Press. ...
Resolution of the Stochastic Strategy Spatial Prisoner's Dilemma by Means of Particle Swarm Optimization
2011
PLoS ONE
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We study the evolution of cooperation among selfish individuals in the stochastic strategy spatial prisoner's dilemma game. ...
Following extensive simulations of this setup, we find a significant increase in the level of cooperation for a wide range of parameters, and also a full resolution of the prisoner's dilemma. ...
on the evolution of cooperation in the stochastic strategy spatial prisoner's dilemma game. ...
doi:10.1371/journal.pone.0021787
pmid:21760906
pmcid:PMC3131296
fatcat:5sabcnx2mvhzlo7sylebxmgfie
Predicting human decision making in psychological tasks with recurrent neural networks
[article]
2021
bioRxiv
pre-print
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of strategies adopted by each group. ...
In this study, we collate the human data from 8 published literature of the Iterated Prisoner's Dilemma comprising 168,386 individual decisions and postprocess them into 8,257 behavioral trajectories of ...
This work was financially supported in part by the Systems Biology Fellowship awarded by Columbia University and the research training grants awarded by the National Science Foundation and the National ...
doi:10.1101/2021.11.15.468588
fatcat:pv4vw5xhlvc2tjm25rjac6vfkq
Fingerprint Analysis of the Noisy Prisoner's Dilemma Using a Finite-State Representation
2009
IEEE Transactions on Computational Intelligence and AI in Games
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In this study the evolution of strategies for playing the iterated prisoner's dilemma at three different noise levels is analyzed using fingerprinting and other techniques including a novel quantity, evolutionary ...
The results are at odds with initial expectations and permit the detection of a critical difference in the evolution of agents with and without noise. ...
The first author thanks the University of Guelph and the National Science and Engineering Research Council of Canada (NSERC) for supporting this work. ...
doi:10.1109/tciaig.2009.2018704
fatcat:75qfx4xjx5gspeaon373k2x7yq
Behavioral Diversity, Choices and Noise in the Iterated Prisoner's Dilemma
2005
IEEE Transactions on Evolutionary Computation
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time complexity of evolutionary algorithms, coevolution, iterated prisoner's dilemma, data mining, and real-world applications. ...
Yao was awarded the President's Award for Outstanding Thesis by the Chinese Academy of Sciences for his Ph.D. work on simulated annealing and evolutionary algorithms. He won the 2001 IEEE Donald G. ...
ACKNOWLEDGMENT The authors are grateful to The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, The University of Birmingham, for providing ...
doi:10.1109/tevc.2005.856200
fatcat:clrb3t3c7jdnlkqwj6mbityfiq
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