Case-Based Behavior Adaptation Using an Inverse Trust Metric

Abstract

Robots are added to human teams to increase the team's skills or capabilities but in order to get the full benefit the teams must trust the robots. We present an approach that allows a robot to estimate its trustworthiness and adapt its behavior accordingly. Additionally, the robot uses case-based reasoning to store previous behavior adaptations and uses this information to perform future adaptations. In a simulated robotics domain, we compare case-based behavior adaption to behavior adaptation that does not learn and show it significantly reduces the number of behaviors that need to be evaluated before a trustworthy behavior is found.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA602864

Entities

People

  • David W. Aha
  • Michael Drinkwater
  • Michael W. Floyd

Organizations

  • Knexus Research (United States)

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Systems
  • Command And Control
  • Control Systems
  • Human Factors Engineering
  • Human-Robot Interaction
  • Military Research
  • Motion Planning
  • Random Walk
  • Reasoning
  • Robotics
  • Robots
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy