A Model of Trust, Moods, and Emotions in Multiagent Systems and its Empirical Evaluation

Abstract

We study the interplay of moods, emotions, and trust in decision-making contexts characterized by commitments among agents. We develop a general approach representing the relationships among these concepts via a Bayesian network model. Our approach incorporates insights from the literature and provides a computational methodology for identifying improved Bayesian models. Based on observations from an empirical study, we motivate a refined Bayesian model involving the above-mentioned concepts that goes beyond the relationships known in the literature. Our findings include (1) the violation of a commitment affects trust more than its satisfaction; (2) goal satisfaction affects mood and emotion more than commitment satisfaction, but the outcome of a commitment affects trust more than the outcome of a goal; and (3) an agent's prior mood and trust affect whether it satisfies its commitments.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2014
Accession Number
AD1008390

Entities

People

  • Anup K. Kalia
  • Jin-Hee Cho
  • Kevin Chan
  • Munindar P. Singh
  • Nirav Ajmeri
  • Sibel Adali

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence Software
  • Auditory Signals
  • Bayesian Networks
  • Computer Science
  • Human Behavior
  • Hypotheses
  • Machine Learning
  • Military Research
  • Models
  • Multiagent Systems
  • Probability
  • Probability Distributions
  • Psychology
  • Random Variables
  • Social Psychology
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Organizational Process Management (OPM).
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML