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Cooperative Games in a Stochastic Environment
[chapter]
2003
Lecture Notes in Computer Science
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In order to avoid this indeterminacy we organise in a better way the knowledge, introducing the notion of virtual game to achieve the goal efficiently. ...
Then we extend the one-player to a team mode game. ...
often unclear and the environment in which it survives very complex. ...
doi:10.1007/978-3-540-45216-4_2
fatcat:f73wz5gl7bfb3oez6eya4wzjxa
Cooperative Games in a Stochastic Environment
[chapter]
2002
From Synapses to Rules
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In order to avoid this indeterminacy we organise in a better way the knowledge, introducing the notion of virtual game to achieve the goal efficiently. ...
Then we extend the one-player to a team mode game. ...
often unclear and the environment in which it survives very complex. ...
doi:10.1007/978-1-4615-0705-5_4
fatcat:2uqvlcjojfexxe3tw3navamrau
Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems
2014
ACM Transactions on Autonomous and Adaptive Systems
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The learning performance of both types of learners are evaluated under a number of challenging deterministic and stochastic cooperative games. ...
To this end, in this paper, we investigate the multiagent coordination problems in cooperative environments under the social learning framework, in which there exists a large population of agents and each ...
The commonly adopted learning framework for studying the coordination problem within cooperative MASs is to consider two (or more) players playing a repeated (stochastic) game, however, in practical complex ...
doi:10.1145/2644819
fatcat:bjdwsiqhcrh6dfrxk5vrw5ubzm
Stochasticity in economic losses increases the value of reputation in indirect reciprocity
2015
Scientific Reports
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Adversity and stochasticity of the environment (defined as the mean and variance in environmental quality, respectively) have been shown to increase cooperation in plants and animals, for example, with ...
We used a repeated helping game with observers. ...
Eight groups each played a pair-wise indirect reciprocity game in a "Stable" or "Stochastic" treatment. ...
doi:10.1038/srep18182
pmid:26658221
pmcid:PMC4677356
fatcat:arlxccv5rng2hb7fhjd2cislwy
Climate Dilemma: Link between Uncertainty and Success
2016
International Journal of Earth & Environmental Sciences
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Can the stochastic element in our climate game, which means some level of uncertainty, increase the probability of adopting the cleaner strategy? ...
Historic climate deal in Paris sets out a global actions plan to put the world on track to avoid dangerous climate change by limiting global warming to well below 2°C. ...
Acknowledgment Part of this paper was prepared in the framework of the project ...
doi:10.15344/2456-351x/2016/108
fatcat:r5rryjkudrdjtb4k3sj5rxmx4u
The El Farol Bar Problem as an Iterated N-Person Game
2012
Complex Systems
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The El Farol Bar problem is treated as an iterated N-person battle of the sexes or leader game for any initial attendance ratio and any value of the bar capacity. ...
In this simulation, we chose zero stochastic factors, that is, a deterministic environment. ...
In this case, S > T > R > P, which is a leader game [14] . ...
doi:10.25088/complexsystems.21.2.153
fatcat:voi2jfcsyjcineyecs6i2ecb7q
Punishment and Cooperation in Stochastic Social Dilemmas
2015
Journal of Conflict Resolution
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We compare behavior in a twoperson deterministic prisoner's dilemma game (DPD) with a two-person stochastic prisoner's dilemma (SPD). ...
Our findings provide useful information for designing efficient incentive mechanisms to induce cooperation in a stochastic social dilemma environment. ...
In a stochastic environment, an individual may interpret non-cooperative behavior as risk-taking rather than an indication of negative intentions. ...
doi:10.1177/0022002714564426
fatcat:ruvc5ezrcjbftijzqiducbkoy4
Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems
2014
2014 IEEE 26th International Conference on Tools with Artificial Intelligence
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The learning performances of both learners are evaluated extensively in different cooperative games, and the influence of different factors on the learning performance of agents is investigated and analyzed ...
The problem of coordination in cooperative multiagent systems has been widely studied in the literature. ...
Usually the cooperative multiagent environment is modeled as two-player cooperative repeated (or stochastic) games. ...
doi:10.1109/ictai.2014.63
dblp:conf/ictai/HaoHCL14
fatcat:qrgbc4mecfgflcritrcfol34aa
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
2012
Knowledge engineering review (Print)
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A selection of multi-agent domains is classified according to those challenges: matrix games, Boutilier's coordination game, predators pursuit domains and a special multi-state game. ...
In the framework of fully cooperative multi-agent systems, independent (non-communicative) agents that learn by reinforcement must overcome several difficulties to manage to coordinate. ...
In addition, it is proved that this algorithm finds optimal policies in deterministic environments for cooperative Markov games. ...
doi:10.1017/s0269888912000057
fatcat:j2unyb75c5a3lmpvdny3ex77ei
MODELING OF COOPERATIVE BEHAVIOR IN MULTIAGENT SYSTEMS
2018
Problemi Informacìjnih Tehnologìj
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Cooperative behavior is understood as a community of agents who decide to cooperate to reduce the average weighted fines to solve a task or achieve a certain goal, in our case, synchronize the lightning ...
The problem of solving such problems is the theory of games, and in the conditions of uncertainty the theory of stochastic games. ...
We solve the stochastic game of two agents with two clean strategies in a two-state environment. ...
doi:10.35546/2313-0687.2018.24.57-66
fatcat:2c4r4cs76facdecibflqtqilay
Cooperation in Stochastic Games: A Prisoner's Dilemma Experiment
2017
Social Science Research Network
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This experiment investigates cooperation in a stochastic version of the infinitely repeated prisoner's dilemma. ...
There is some evidence in favor of alternating cooperation and defection, but a maximum likelihood strategy estimation suggests that cooperation is only conditioned on past actions. ...
In this paper, the analysis is extended to a more general environment where a new issue, beliefs about future games, becomes an important determinant of cooperation. ...
doi:10.2139/ssrn.3029579
fatcat:7ygf234gfrd5pmlk5rrpiw2n2m
A Multi-agent OpenAI Gym Environment for Telecom Providers Cooperation
2021
2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
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We show in particular that although each agent has no incentive to remain cooperative at each step of such iterated games, a mutual cooperation provides better outcomes (in other words, Nash Equilibrium ...
This article presents a new adaptable framework, based on the OpenAI Gym toolkit, allowing to generate customisable environments for cooperating on radio resources. ...
Fig. 6 : A two-player stochastic game in situation of Sequential Social Dilemma : symmetric payoffs verify S < P < R < T . ...
doi:10.1109/icin51074.2021.9385538
fatcat:xhb7nh3qrfa6xft3isauls25qm
A stochastic differential game of low carbon technology sharing in collaborative innovation system of superior enterprises and inferior enterprises under uncertain environment
2018
Open Mathematics
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In the model, superior enterprises and inferior enterprises are separated entities, and they play Stacklberg master-slave game, Nash non-cooperative game, and cooperative game, respectively. ...
degree of low carbon technology level in the cooperation game higher than the variance in the Stackelberg game, and the result of Stackelberg game is similar to the result of Nash game. ...
We thank my friend, Yuanjie Tan who is a maths major, for the support of mathematical derivation and examining mathematical formulas. ...
doi:10.1515/math-2018-0056
fatcat:rqjpsvb37nclbkerxhifarfwwi
Research on Cooperative Innovation Behavior of Industrial Cluster Based on Subject Adaptability
2016
Discrete Dynamics in Nature and Society
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support as well as other factors to build and analyze a classic evolutionary game model. ...
On this basis, the subject's own adaptability is introduced, which is regarded as the system noise in the stochastic evolutionary game model so as to analyze the impact of adaptability on the game strategy ...
Strategy ratio
Situation 1
Situation 2
Situation 3
(a) Stochastic
game
(b) Game under
definite condition
(c) Stochastic
game
(d) Game under
definite condition
(e) Stochastic
game
(f) ...
doi:10.1155/2016/3069065
fatcat:cktosybgzrdzjeufqjmtbp6tjq
UNCERTAINTIES FACILITATE AGGRESSIVE BEHAVIOR IN A SPATIAL HAWK–DOVE GAME
2007
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
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In particular, aggressors thrive best if stochastic influences are of the order of magnitude of deterministic payoff values. ...
We study effects of additive spatiotemporal random variations, introduced to the payoffs of a spatial hawk-dove game, on the evolution of the reconciliatory and the aggressive strategy. ...
of stochasticity in the game. ...
doi:10.1142/s0218127407019779
fatcat:47wg4lbj7rhr3acqc4uuuebij4
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