Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. "

Plan, Activity, and Intent Recognition" explains the crucial role of these techniques in a wide variety of applications including:

personal agent assistants computer and network security opponent modeling in games and simulation systems coordination in robots and software agents web e-commerce and collaborative filtering dialog modeling video surveillance smart homes In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas.
Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminarsExplains how to interpret and recognize plans and activities from sensor dataProvides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines"

This book constitutes the proceedings of the First International Symposium, ToM for Teams 2021, held in Washington, DC, USA, during November 4-6, 2021, Each chapter in this section tackles a different aspect of AI representing the thoughts and beliefs of human agents. The work presented herein represents our collective efforts to better understand ToM, develop AI with ToM capabilities (ASI), and study how to integrate such systems into human teams.

This book compiles the most visionary papers from 10 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They deal with novel ideas proposing a change in the way research is currently carried out.

This book features a selection of best papers from 13 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 17 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.

Within the rapidly-growing arena of 'virtual worlds', such as Massively Multiplayer Online Games (MMOs), individuals behave in particular ways, influence one another, and develop complex relationships. This setting can be a useful tool for modeling complex social systems, cognitive factors, and interactions between groups and within organizations. To study these worlds effectively requires a cross-disciplinary approach that integrates social science theories with big data analytics. This broad-based book offers a comprehensive and holistic perspective on the field. It brings together research findings from an international team of experts in computer science (artificial intelligence, game design, and social computing), psychology, and the social sciences to help researchers and practitioners better understand the fundamental processes underpinning social behavior in virtual worlds such as World of Warcraft, Rift, Eve Online, and Travian.