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 seminars - Explains how to interpret and recognize plans and activities from sensor data - Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines

Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent? How can we model and recognize patterns of human behavior which span more than a limited spatial context? This text provides an overview on plan and intention recognition, ranging from the late 1970s to very recent approaches. This overview is unique as it discusses approaches with respect to the specificities of mobile intention recognition. This book covers problems from research on mobile assistance systems using methods from artificial intelligence and natural language processing. It thus addresses an extraordinary interdisciplinary audience.

This book constitutes the refereed proceedings of the First International Workshop on Human Behavior Understanding, HBU 2010, a satellite workshop of the International Conference on Pattern Recognition in Istanbul, Turkey, on August 22, 2010. The 13 revised full papers presented were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on analysis of human activities; non-verbal action dynamics; visual action recognition; and social signals.

A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.

This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.

This book constitutes the thoroughly refereed proceedings of the 22nd International Conference on User Modeling, Adaption and Personalization, held in Aalborg, Denmark, in July 2014. The 23 long and 19 short papers of the research paper track were carefully reviewed and selected from 146 submissions. The papers cover the following topics: large scale personalization, adaptation and recommendation; Personalization for individuals, groups and populations; modeling individuals, groups and communities; Web dynamics and personalization; adaptive web-based systems; context awareness; social recommendations; user experience; user awareness and control; Affective aspects; UMAP underpinning by psychology models; privacy; perceived security and trust; behavior change and persuasion.

Cameras for 3D depth imaging, using either time-of-flight (ToF) or structured light sensors, have received a lot of attention recently and have been improved considerably over the last few years. The present techniques make full-range 3D data available at video frame rates, and thus pave the way for a much broader application of 3D vision systems. A series of workshops have closely followed the developments within ToF imaging over the years. Today, depth imaging workshops can be found at every major computer vision conference. The papers presented in this volume stem from a seminar on Time-of-Flight Imaging held at Schloss Dagstuhl in October 2012. They cover all aspects of ToF depth imaging, from sensors and basic foundations, to algorithms for low level processing, to important applications that exploit depth imaging. In addition, this book contains the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrücken, Germany, in September 2013. A state-of-the-art report on the Kinect sensor and its applications is followed by two reports on local and global ToF motion compensation and a novel depth capture system using a plenoptic multi-lens multi-focus camera sensor.

Suppose you're offered an opportunity to experience something that is unlike anything you have ever encountered, but that's all you know—aside from the fact that the experience is physically safe and morally acceptable. How do you decide whether to take up the offer? Several philosophers have recently argued that we are in similar situations for more of our decisions than we usually recognize. Are they right? What resources can we draw on to create such situations? Are they enough to satisfy our aims of making the best decisions we can, especially in high stakes situations? This volume brings together philosophers and psychologists to investigate the phenomenon of transformative change and a host of fascinating questions it prompts. Taking their departure from seminal work on transformative choice and experience by L. A. Paul and Edna Ullmann-Margalit, the authors pursue fundamental questions concerning the nature of rationality, the limits of the imagination, and the metaphysics of the self. They also strike out into new areas, including value theory, aesthetics, moral and political philosophy. Several chapters present the results of experimental investigation into the psychology of transformation, self-concept, and moral learning.

This volume illustrates how the methodology of metaphysics can be enriched with the help of cognitive science. Few philosophers nowadays would dispute the relevance of cognitive science to the metaphysics of mind, but this volume mainly concerns the relevance of metaphysics to phenomena that are not themselves mental. The volume is thus a departure from standard analytical metaphysics. Among the issues to which results from cognitive science are brought to bear are the metaphysics of time, of morality, of meaning, of modality, of objects, and of natural kinds, as well as whether God exists. A number of chapters address the enterprise of metaphysics in general. In traditional analytical metaphysics, intuitions play a prominent role in the construction of, and assessment of theories. Cognitive science can be brought to bear on the issue of the reliability of intuitions. Some chapters point out how results from cognitive science can be deployed to debunk certain intuitions, and some point out how results can be deployed to help vindicate certain intuitions. Many metaphysicians have taken to heart the moral that physics should be taken into account in addressing certain metaphysical issues. The overarching point of the volume is that in many instances beyond the nature of the mind itself, cognitive science should also be consulted.