Like-Me Simulation as an Effective and Cognitively Plausible Basis for Social Robotics

We present a successful design approach for social robotics based on a computational cognitive architecture and mental simulation. We discuss an approach to a Theory of Mind known as a like-me simulation in which the agent uses its own knowledge and capabilities as a model of another agent to predic...

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Bibliographic Details
Main Authors: Kennedy, William G, Bugajska, Magdalena D, Harrison, Anthony M, Trafton, J Gregory
Format: Report
Language:English
Subjects:
ACT-R(COMPUTER PROGRAM)
ADAPTIVE CONTROL OF THOUGHT-RATIONAL LIKE-ME SIMULATION
ARTIFICIAL INTELLIGENCE
COGNITION
COGNITIVE PLAUSIBILITY
Cybernetics
EMBODIED COGNITION
LEARNING MACHINES
MATHEMATICAL MODELS
MENTAL ABILITY
METHODOLOGY
PERFORMANCE(HUMAN)
Psychology
REPRINTS
ROBOTICS
SIMULATION
SOCIAL PSYCHOLOGY
SOCIAL ROBOTICS
TEAMS(PERSONNEL)
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Summary:We present a successful design approach for social robotics based on a computational cognitive architecture and mental simulation. We discuss an approach to a Theory of Mind known as a like-me simulation in which the agent uses its own knowledge and capabilities as a model of another agent to predict that agent's actions. We present three examples of a like-me mental simulation in a social context implemented in the embodied version of the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture, ACT-R/E (for ACT-R Embodied). Our examples show the efficacy of a simulation approach in modeling perspective taking (identifying another's left or right hand), teamwork (simulating a teammate for better team performance), and dominant-submissive social behavior (primate social experiments). We conclude with a discussion of the cognitive plausibility of this approach and our conclusions. Published in International Journal of Social Robotics, v1 p181-194, 2009.