A Model for an Affective Non-Expensive Utility-Based Decision Agent

被引：14

作者：

Gomez Esteban, Pablo ^{[1
]}

Rios Insua, David ^{[2
]}

机构：

[1] Vrije Univ Brussel, Dept Mech Engn, B-1050 Brussels, Belgium

[2] CSIC, Inst Ciencias Mat, ICMAT, Madrid 28049, Spain

来源：

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING | 2019年 / 10卷 / 04期

关键词：

Mood; Computational modeling; Robots; Decision making; Biological system modeling; Fires; Risk analysis; Affective computing; social agents; robotics; decision support; utility theory; EMOTION; PERSONALITY; ROBOTS;

D O I：

10.1109/TAFFC.2017.2737979

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 agents 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.

引用

页码：498 / 509

页数：12

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