Social cycling and conditional responses in the Rock-Paper-Scissors game

Wang, Zhijian; Xu, Bin; Zhou, Haijun

doi:10.1038/srep05830

Cited by 99 publications

(143 citation statements)

References 45 publications

(64 reference statements)

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“…Choice history biases are evident in a variety of situations even when they are maladaptive (5). A possibility is that subjects are applying strategies that lead to optimal decisions in their natural environment, but those same strategies become fallacies when faced with the artificial constrains of psychophysical experiments (52,53).…”

Section: Discussionmentioning

confidence: 99%

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Adaptable history biases in human perceptual decisions

Abrahamyan

Silva

Dakin

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

200

259

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When making choices under conditions of perceptual uncertainty, past experience can play a vital role. However, it can also lead to biases that worsen decisions. Consistent with previous observations, we found that human choices are influenced by the success or failure of past choices even in a standard two-alternative detection task, where choice history is irrelevant. The typical bias was one that made the subject switch choices after a failure. These choice history biases led to poorer performance and were similar for observers in different countries. They were well captured by a simple logistic regression model that had been previously applied to describe psychophysical performance in mice. Such irrational biases seem at odds with the principles of reinforcement learning, which would predict exquisite adaptability to choice history. We therefore asked whether subjects could adapt their irrational biases following changes in trial order statistics. Adaptability was strong in the direction that confirmed a subject’s default biases, but weaker in the opposite direction, so that existing biases could not be eradicated. We conclude that humans can adapt choice history biases, but cannot easily overcome existing biases even if irrational in the current context: adaptation is more sensitive to confirmatory than contradictory statistics.

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Section: Discussionmentioning

confidence: 99%

“…We then selected the Λ value that produced the highest likelihood. The likelihood was computed as LH = ∏zðtÞ, [5] where t refers to trial number and zðtÞ corresponds to…”

Section: Methodsmentioning

confidence: 99%

Adaptable history biases in human perceptual decisions

Abrahamyan

Silva

Dakin

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

200

259

View full text Add to dashboard Cite

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“…Zhijian Wang observed that winning players stick to their one winning strategy while losing players changes strategies [21]. Psychology has conceptualize the "conditional response" [22] and game theory has the "Pavlov strategy" [23].…”

Section: Publications In Roshambomentioning

confidence: 99%

The Effectiveness of Using a Modified “Beat Frequent Pick” Algorithm in the First International RoShamBo Tournament

Valdez¹,

Siddayao²,

Fernandez³

2015

IJIET

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Abstract-In this study, a bot is developed to compete in the first International RoShamBo Tournament test suite. The basic "Beat Frequent Pick (BFP)" algorithm was taken from the supplied test suite and was improved by adding a random choice tailored fit against the opponent's distribution of picks. A training program was also developed that finds the best performing bot variant by changing the bot's behavior in terms of the timing of the recomputation of the pick distribution. Simulation results demonstrate the significantly improved performance of the proposed variant over the original BFP. This indicates the potential of using the core technique (of the proposed variant) as an Artificial Intelligence bot to similarly applicable computer games.

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“…Here the decision making of each agent is dependent upon the outcome of the game at the previous step as it adopts the winners' choices based on local information. The higher probability for agents to keep the choices won in the last round can be considered as a conditional response behavior [32] in the multiagent interaction setting. If the winning-resource set is empty, agent i will randomly select one from the k available resources.…”

Section: Multiresource Mg-dynamics Modelmentioning

confidence: 99%

Triple grouping and period-three oscillations in minority-game dynamics

Dong

Huang

et al. 2014

Phys. Rev. E

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Dynamical systems based on the minority game (MG) have been a paradigm for gaining significant insights into a variety of social and biological behaviors. Recently, a grouping phenomenon has been unveiled in MG systems of multiple resources (strategies) in which the strategies spontaneously break into an even number of groups, each exhibiting an identical oscillation pattern in the attendance of game players. Here we report our finding of spontaneous breakup of resources into three groups, each exhibiting period-three oscillations. An analysis is developed to understand the emergence of the striking phenomenon of triple grouping and period-three oscillations. In the presence of random disturbances, the triple-group/period-three state becomes transient, and we obtain explicit formula for the average transient lifetime using two methods of approximation. Our finding indicates that, period-three oscillation, regarded as one of the most fundamental behaviors in smooth nonlinear dynamical systems, can also occur in much more complex, evolutionary-game dynamical systems. Our result also provides a plausible insight for the occurrence of triple grouping observed, for example, in the U.S. housing market.

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Social cycling and conditional responses in the Rock-Paper-Scissors game

Cited by 99 publications

References 45 publications

Adaptable history biases in human perceptual decisions

Adaptable history biases in human perceptual decisions

The Effectiveness of Using a Modified “Beat Frequent Pick” Algorithm in the First International RoShamBo Tournament

Triple grouping and period-three oscillations in minority-game dynamics

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