Understanding Cooperation in a Single-trial Prisoner's Dilemma Game: Interactions Among Three Conditions

2013 ◽  
Vol 41 (5) ◽  
pp. 721-729 ◽  
Author(s):  
Yang Xi ◽  
Tingyan Li ◽  
Yong Zheng

In the present study we investigated the mechanism inherent in the decision-making process in a single-trial with the game called Prisoner's Dilemma (PD), in which players might simultaneously encounter different conditions that influence cooperation: namely, reciprocity, perceived control, and risk taking. We conducted 2 experiments to examine how, and to what extent, these conditions contribute to cooperation. By incorporating direct measurements of the potential conditions into a paradigm produced in previous studies, we were able to test the reliability of backward inference and to quantify the effect exerted by each condition. Results consistently revealed a complex cognitive process in single-trial PD: each condition had an influence on decision making, but none of them showed a dominating power to prompt cooperation independently; reciprocity served as a moderator.

2015 ◽  
Vol 29 (30) ◽  
pp. 1550184
Author(s):  
Hengshan Zong ◽  
Guozhu Jia ◽  
Yang Cheng

Though numerous studies demonstrate the importance of social influence in deciding individual decision-making process in networks, little has been done to explore its impact on players’ behavioral patterns in evolutionary prisoner’s dilemma games (PDGs). This study investigates how social influenced strategy updating rules may affect the final equilibrium of game dynamics. The results show that weak social influence usually inhibits cooperation, while strong social influence has a mediating effect. The impacts of network structure and the existence of rebels in social influence scenarios are also tested. The paper provides a comprehensive interpretation on social influence effects on evolutionary PDGs in networks.


2012 ◽  
Author(s):  
Masanari Asano ◽  
Irina Basieva ◽  
Andrei Khrennikov ◽  
Masanori Ohya ◽  
Yoshiharu Tanaka

Author(s):  
Aslı Öztopçu

Decision making points out to the consequences of past or future behaviors. An individual has to make decisions on all subjects throughout his life. An important part of these decisions are economic decisions. Individuals make decisions such as renting, buying, buying new goods, migrating, changing jobs, making investments, enterprise, choosing holidays, evaluating savings. Non-rational decisions are observed although individuals should make rational decision, according to mainstream economics. In this study, the effects of the emotions that form the basis of psychology, such as time, option constraint, opportunities, risk taking, risk aversion, procrastination, rush, or uncertainty, inconsistency, intuitive movement, cognitive error in the decision-making process of individuals are discussed. For this purpose, the characteristics of decision-making process, individual effects of cognitive of emotions, individual decision making theorems in economic theory and behavioral economics literature are mentioned. It is thought that the role of emotions that shape behaviors should be known in the regulation of economic life that is determined according to human behavior.


2019 ◽  
Vol 24 ◽  
pp. 3-30
Author(s):  
Tommi Lehtonen ◽  

The prisoner's dilemma famously shows that individuals seeking their own benefit end up with a worse outcome than could be achieved through cooperation. This dilemma provides an effective but neglected method for the study of the Hindu principle of "desireless action" (niṣkāmakarma). In the context of the prisoner's dilemma, one or the other of the following decision-making strategies is feasible for prisoners who want to follow the principle of "desireless action": (1) to be indifferent and to leave the decision to chance (e.g. by arbitrarily drawing lots) or (2) to pursue the common good or the benefit of the other (by remaining silent) instead of seeking primarily to benefit oneself (by confessing). The second strategy is more appropriate assuming the following: the followers of the principle of "desireless action" can be goal-oriented and target-driven, as long as unselfish goals are considered, while remaining indifferent and non-attached in terms of personal benefit. This interpretation is tested and further discussed in this article in light of the values of the modem environmental and anti-consumerist degrowth movement. A non-profit orientation and the emphasis on duties are shared by the concepts of degrowth and niṣkāmakarma. Social- or reality-centredness rather than self-centredness is also common to both concepts. The degrowth movement focuses on economic contraction and deceleration, and thus its scope is narrower and more specific than that of niṣkāmakarma. Moreover, the degrowth movement rejects economic grovrth because of its ecologically and socially harmful effects, such as pollution and income inequality, but it is - at least in theory - indifferent to the harmless results of economic activities. On the contrary, the principle of niṣkāmakarma involves a critical stance toward both good and bad results of actions, insofar as they are pursued because of self-regarding desires.


2021 ◽  
Author(s):  
Baihan Lin ◽  
Djallel Bouneffouf ◽  
Guillermo Cecchi

Unlike traditional time series, the action sequences of human decision making usually involve many cognitive processes such as beliefs, desires, intentions and theory of mind, i.e. what others are thinking. This makes predicting human decision making challenging to be treated agnostically to the underlying psychological mechanisms. We propose to use a recurrent neural network architecture based on long short-term memory networks (LSTM) to predict the time series of the actions taken by the human subjects at each step of their decision making, the first application of such methods in this research domain. 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 9 actions each for both players. Similarly, we collate 617 trajectories of 95 actions from 10 different published studies of Iowa Gambling Task experiments with healthy human subjects. We train our prediction networks on the behavioral data from these published psychological experiments of human decision making, and demonstrate a clear advantage over the state-of-the-art methods in predicting human decision making trajectories in both single-agent scenarios such as the Iowa Gambling Task and multi-agent scenarios such as the Iterated Prisoner's Dilemma. In the prediction, we observe that the weights of the top performers tends to have a wider distribution, and a bigger bias in the LSTM networks, which suggests possible interpretations for the distribution of strategies adopted by each group.


2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Thais Spiegel ◽  
Ana Carolina P V Silva

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the world. Doctors' decisions, for example, are made under uncertain conditions, as without knowing precisely whether a diagnosis is correct or whether a treatment will actually cure a patient, and often under time constraints. Using cognitive heuristics are neither good nor bad per se, if applied in situations to which they have been adapted to be helpful. Therefore, this text contextualizes the human decision-making perspective to find descriptions that adhere more closely to the human decision-making process. Then, based on a literature review of cognition during decision-making, particularly in healthcare context, it addresses a model that identifies the roles of attention, categorization, memory, emotion, and their inter-relations, during the decision-making process.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Celso M. de Melo ◽  
Kazunori Terada

Abstract The iterated prisoner’s dilemma has been used to study human cooperation for decades. The recent discovery of extortion and generous strategies renewed interest on the role of strategy in shaping behavior in this dilemma. But what if players could perceive each other’s emotional expressions? Despite increasing evidence that emotion signals influence decision making, the effects of emotion in this dilemma have been mostly neglected. Here we show that emotion expressions moderate the effect of generous strategies, increasing or reducing cooperation according to the intention communicated by the signal; in contrast, expressions by extortionists had no effect on participants’ behavior, revealing a limitation of highly competitive strategies. We provide evidence that these effects are mediated mostly by inferences about other’s intentions made from strategy and emotion. These findings provide insight into the value, as well as the limits, of behavioral strategies and emotion signals for cooperation.


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