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An Affective Model for a non-Expensive Utility-based Decision Agent
IEEE Transactions on Affective Computing ( IF 11.2 ) Pub Date : 2019-10-01 , DOI: 10.1109/taffc.2017.2737979
Pablo Gomez Esteban , David Rios Insua

We present an affective model for an autonomous decision agent implementable within non-expensive robotic platforms. The agent makes decisions influenced by affective factors when interacting with humans and other agents under the Adversarial Risk Analysis framework. The model is based on a multi-objective additive utility function, with weights partly regulated by the agent's emotional states and mood. Our motivation for this work is not to provide a more accurate descriptive model, but rather to use affection as a basic element within a decision-making process that could lead to improved performance of a robotic agent, possibly making it more attractive. This would facilitate its adoption in application areas such as companion pets to provide emotional support to the elderly or kids with autism, or as educational support within an edutainment framework.

中文翻译:

基于非昂贵效用的决策代理的情感模型

我们提出了一个可在非昂贵机器人平台中实现的自主决策代理的情感模型。代理在对抗风险分析框架下与人类和其他代理交互时,会做出受情感因素影响的决策。该模型基于多目标加性效用函数,权重部分由代理的情绪状态和情绪调节。我们开展这项工作的动机不是提供更准确的描述性模型,而是将情感用作决策过程中的基本要素,从而提高机器人代理的性能,使其更具吸引力。这将有助于其在伴侣宠物等应用领域的采用,为患有自闭症的老人或儿童提供情感支持,
更新日期:2019-10-01
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