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2017 Volume 32
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ORIGINAL RESEARCH   Open Access    

Environmental effects on simulated emotional and moody agents

  • Department of Computer Science

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  • Abstract: Psychological models have been used to simulate emotions within agents as part of the decision-making process. The body of this work has focussed on applying the process of decision making using emotions to social dilemmas, notably the Prisoner’s Dilemma. Previous work has focussed on agents which do not move around, with an initial analysis on how mobility and the environment can affect the decisions chosen. Additionally simulated mood has been introduced to the decision-making process. Exploring simulated emotions and mood to inform the decision-making process in multi-agent systems allows us to explore in further detail how outside influences can have an effect on different strategies. We expand and clarify aspects of how agents are affected by environmental differences. We show how emotional characters settle on an outcome without deviation by providing a formal proof. We validate how the addition of mood increases cooperation, while also showing how small groups achieve this quicker than large groups. Once pure defectors are added, to test the resilience of the cooperation achieved, we see that while agents with a low starting mood achieve a payoff closest to the pure defectors, they are reduced in numbers the most by the pure defectors.
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  • Cite this article

    Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls. 2017. Environmental effects on simulated emotional and moody agents. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000170
    Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls. 2017. Environmental effects on simulated emotional and moody agents. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000170
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ORIGINAL RESEARCH   Open Access    

Environmental effects on simulated emotional and moody agents

  • Department of Computer Science

  • Published online: 24 August 2017
The Knowledge Engineering Review  32,  2017, 32(1)  |  Cite this article

Abstract: Abstract: Psychological models have been used to simulate emotions within agents as part of the decision-making process. The body of this work has focussed on applying the process of decision making using emotions to social dilemmas, notably the Prisoner’s Dilemma. Previous work has focussed on agents which do not move around, with an initial analysis on how mobility and the environment can affect the decisions chosen. Additionally simulated mood has been introduced to the decision-making process. Exploring simulated emotions and mood to inform the decision-making process in multi-agent systems allows us to explore in further detail how outside influences can have an effect on different strategies. We expand and clarify aspects of how agents are affected by environmental differences. We show how emotional characters settle on an outcome without deviation by providing a formal proof. We validate how the addition of mood increases cooperation, while also showing how small groups achieve this quicker than large groups. Once pure defectors are added, to test the resilience of the cooperation achieved, we see that while agents with a low starting mood achieve a payoff closest to the pure defectors, they are reduced in numbers the most by the pure defectors.

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    • Characters Responsive and Trustful are referred to as E1 and E7, respectively, in Lloyd-Kelly et al. (2012b).

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    Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls. 2017. Environmental effects on simulated emotional and moody agents. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000170
    Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls. 2017. Environmental effects on simulated emotional and moody agents. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000170
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