Abstract

Understanding other people's goals is an essential part of interpersonal interactions. This capability enables a person to naturally predict another person's future actions in a situation and produce appropriate joint or shared actions. In like manner, a human-like planning agent (or sociable robot) should be able to understand the user's action goal and come up with subgoal-based plans to achieve the goal. In this paper we focus on how the agent can automatically construct the subgoal-based action hierarchy corresponding to the user's high-level goal. As a first step, we implement an action-planning engine based on ConceptNet, and indicate the drawbacks of using ConceptNet for this purpose. Also, we present the structure of a new goal-oriented commonsense-reasoning knowledgebase for the agent's action-goal representation and action planning.

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