Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Rational choice theory enjoys unprecedented popularity and influence in the behavioral and
social sciences, but it generates intractable problems when applied to socially interactive …

Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …

Linking back to, the present approach conceptualizes and empirically examines viewers'
parasocial interaction experience with a TV performer. Causes and outcomes of parasocial …

Traditionally, autonomous cars treat human-driven vehicles like moving obstacles. They
predict their future trajectories and plan to stay out of their way. While physically safe, this …

Players in a game are “in equilibrium” if they are rational, and accurately predict other
players' strategies. In many experiments, however, players are not in equilibrium. An …

Much of learning and reasoning occurs in pedagogical situations—situations in which a
person who knows a concept chooses examples for the purpose of helping a learner …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

This thesis offers a general game theoretic model of language use and interpretation and
applies it to linguistic pragmatics in the vein of (Grice 1989). The model presented here …

Theory of Mind (ToM)-the ability of the human mind to attribute mental states to others-is a
key component of human cognition. In order to understand other people's mental states or …