Goal programming to model human decision making in ultimatum games

Beullens, Patrick; Zaibidi, Nerda Zura; Jones, Dylan

doi:10.1111/j.1475-3995.2011.00826.x

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…The first issue is how well can individual beliefs and neural-cognitive models explain dictators' behavior (e.g. Beullens et al, 2012). The second issue is the role of institutional punishment in societies, see for instance Gyorgy, (2008) who uses prescriptive agents (agents played by the computer) along with human subjects to explore this issue.…”

Section: The Dictator Gamementioning

confidence: 99%

Towards long-term economic welfare in deregulated electricity markets: Testing capacity mechanisms in an experimental setting

Lara-Arango

Arango-Aramburo

Larsen

2017

The Electricity Journal

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Section: The Dictator Gamementioning

confidence: 99%

Towards long-term economic welfare in deregulated electricity markets: Testing capacity mechanisms in an experimental setting

Lara-Arango

Arango-Aramburo

Larsen

2017

The Electricity Journal

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“…Four different goal criteria in the mind of each player are considered: monetary pleasure, fear of rejection, concern about reputation, and emotion [2]. The following general interpretations are assigned to these four criteria:…”

Section: Introductionmentioning

confidence: 99%

Goal-based dictator game

Zaibidi¹,

Ibrahim²,

Abidin³

2014

AIP Conference Proceedings

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Game-theoretic analysis of a visibility based pursuit-evasion game in the presence of a circular obstacle AIP Conf. Abstract.A considerable number of studies have been conducted to study fairness issues using two-player game. Dictator Game is one of the two-player games that receive much attention. In this paper, we develop an evolutionary approach to the Dictator Game by using Goal programming to build a model of human decision-making for cooperation. The model is formulated based on the theories of cognitive neuroscience that is capable in capturing a more realistic fairness concerns between players in the games. We show that fairness will evolve by taking into account players' aspirations and preferences explicitly in terms of profit and fairness concerns. The model is then simulated to investigate any possible effective strategy for people in economics to deal with fairness coalition. Parallels are drawn between the approach and concepts of human decision making from the field of cognitive neuroscience and psychology. The proposed model is also able to help decision makers to plan or enhance the effective strategies for business purposes.

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Embracing fairness within a cross-efficiency hierarchical network DEA system

Xiao,

Kremantzis,

Kyrgiakos

et al. 2023

Oper Res Int J

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Several scholars have utilized hierarchical network Data Envelopment Analysis modeling techniques to assess the performance of complex structures. However, there has been limited consideration given to the integration of a peer-appraisal setting within a self-evaluation hierarchical context. This aims to enhance discriminatory power and mitigate the issue of unrealistic weighting scheme. To this end, our study extends the single-stage hierarchical additive self-evaluation model of Kao (Omega 51:121–127, 2015. https://doi.org/10.1016/j.omega.2014.09.008), by integrating the well-established cross-efficiency method. An original combination of a maxmin secondary goal model and the Criteria Importance Through Inter-criteria Correlation (CRITIC) method is proposed, to expand the basic hierarchical self-evaluation model. The maxmin model addresses the issue of the non-unique optimal multipliers obtained from the self-evaluation model, ensuring a more realistic weight scheme. The CRITIC method, that tackles the aggregation problem by objectively determining weights of criteria, rewards the minority and is conducive to a fairer evaluation. Results indicate that the proposed approach is more likely to obtain a unique efficiency and ranking score for the units under consideration. This study entails a numerical experimentation aimed at evaluating the efficiency of a set of 20 universities while validating the applicability of our proposed approach. To conclude, the practical applications of this methodological framework could encompass assessing services within the higher education sector or fostering sustainable development across various operations within a hierarchical structure.

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Goal programming to model human decision making in ultimatum games

Cited by 3 publications

References 19 publications

Towards long-term economic welfare in deregulated electricity markets: Testing capacity mechanisms in an experimental setting

Towards long-term economic welfare in deregulated electricity markets: Testing capacity mechanisms in an experimental setting

Goal-based dictator game

Embracing fairness within a cross-efficiency hierarchical network DEA system

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