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Author: Sandra Carberry Publisher: MIT Press ISBN: 9780262031677 Category : Computers Languages : en Pages : 316
Book Description
Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. In most current natural language systems each query is treated as an isolated request for information regardless of its context in dialogue. Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. Plan Recognition in Natural Language Dialogue critically examines plan recognition - the inference of an agent's goals and how he or she intends to achieve them. It describes significant models of plan inference and presents in detail the author's own model, which infers new goals from user utterances and integrates them into the system's model of the user's plan, incrementally expanding and adding detail to its beliefs about what the information seeker wants to do. Carberry then outlines computational strategies for interpreting two kinds of problematic utterances: utterances that violate the pragmatic rules of the system's world model and intersentential elliptical fragments. She also suggests directions for future research. Plan Recognition in Natural Language Dialogue is included in the ACL-MIT Press Series in Natural Language Processing edited by Aravind Joshi.
Author: Sandra Carberry Publisher: MIT Press ISBN: 9780262031677 Category : Computers Languages : en Pages : 316
Book Description
Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. In most current natural language systems each query is treated as an isolated request for information regardless of its context in dialogue. Sandra Carberry addresses the problem of creating computational strategies that can improve user-computer communication by assimilating ongoing dialogue and reasoning on the acquired knowledge. Plan Recognition in Natural Language Dialogue critically examines plan recognition - the inference of an agent's goals and how he or she intends to achieve them. It describes significant models of plan inference and presents in detail the author's own model, which infers new goals from user utterances and integrates them into the system's model of the user's plan, incrementally expanding and adding detail to its beliefs about what the information seeker wants to do. Carberry then outlines computational strategies for interpreting two kinds of problematic utterances: utterances that violate the pragmatic rules of the system's world model and intersentential elliptical fragments. She also suggests directions for future research. Plan Recognition in Natural Language Dialogue is included in the ACL-MIT Press Series in Natural Language Processing edited by Aravind Joshi.
Author: Reuth Reuth Mirsky Publisher: Springer Nature ISBN: 3031015894 Category : Computers Languages : en Pages : 100
Book Description
Plan recognition, activity recognition, and goal recognition all involve making inferences about other actors based on observations of their interactions with the environment and other agents. This synergistic area of research combines, unites, and makes use of techniques and research from a wide range of areas including user modeling, machine vision, automated planning, intelligent user interfaces, human-computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. It plays a crucial role in a wide variety of applications including assistive technology, software assistants, computer and network security, human-robot collaboration, natural language processing, video games, and many more. This wide range of applications and disciplines has produced a wealth of ideas, models, tools, and results in the recognition literature. However, it has also contributed to fragmentation in the field, with researchers publishing relevant results in a wide spectrum of journals and conferences. This book seeks to address this fragmentation by providing a high-level introduction and historical overview of the plan and goal recognition literature. It provides a description of the core elements that comprise these recognition problems and practical advice for modeling them. In particular, we define and distinguish the different recognition tasks. We formalize the major approaches to modeling these problems using a single motivating example. Finally, we describe a number of state-of-the-art systems and their extensions, future challenges, and some potential applications.
Author: Gita Sukthankar Publisher: Newnes ISBN: 012401710X Category : Computers Languages : en Pages : 423
Book Description
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
Author: Alexander Kott Publisher: CRC Press ISBN: 1420011014 Category : Business & Economics Languages : en Pages : 365
Book Description
The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning:
Author: H.-J. Bullinger Publisher: Elsevier ISBN: 148329854X Category : Computers Languages : en Pages : 1181
Book Description
Since the first INTERACT Conference in September 1984, the field of Human-Computer Interaction has received increasing attention from researchers and industrial practitioners, the importance of the topic now being widely recognized. Technological developments have made it possible to seek new solutions to the problem of supporting work processes by information technology and for designing the interface between user and the machine. Computers have become an everyday and common tool in the work of many people. This has motivated the development of an interdisciplinary field of research, which now appears much more established than it was a few years ago.The INTERACT forums provide the opportunity for regular presentation and discussion of new results from research and application by bringing together the various disciplines and research approaches on a worldwide basis.
Author: James Allen Publisher: Morgan Kaufmann ISBN: 1483295966 Category : Computers Languages : en Pages : 317
Book Description
This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to support reasoning about complex planning situations involving simultaneous interacting actions, and interaction with external events. Finally, Josh Tenenberg introduces two different formalisms of abstraction in planning systems and explores the properties of these abstraction techniques in depth.
Author: Charles H. Fay Publisher: Simon and Schuster ISBN: 0684842335 Category : Compensation management Languages : en Pages : 888
Book Description
For more than fifty years, human resources departments have turned to HayGroup for concrete, practical advice on how to structure compensation programs. Also the authority behind leading books on compensation, HayGroup renders all others obsolete with this publication -- the new last word on compensation. The Executive Handbook on Compensation speaks directly to businesses' most important concerns, highlighting dramatic changes in the world of business over the past decade -- changes caused by the globalization of the economy, the diversification of the workforce, new work habits including flexible time and telecommuting, and organizational shifts that require that compensation packages maximize employee-employer partnerships like never before. The Executive Handbook on Compensation shows managers how to: -- Reward and retain key people -- Determine affordable, appropriate pay scales -- Evaluate employee expectations and boost morale -- Develop nontraditional and contingency-based compensation -- Use the latest electronic media to improve the way businesses document, evaluate, price, and plan jobs
Author: Stephen J. Hegner Publisher: Springer Science & Business Media ISBN: 9401008744 Category : Computers Languages : en Pages : 425
Book Description
In this international collection of papers there is a wealth of knowledge on artificial intelligence (AI) and cognitive science (CS) techniques applied to the problem of providing help systems mainly for the UNIX operating system. The research described here involves the representation of technical computer concepts, but also the representation of how users conceptualise such concepts. The collection looks at computational models and systems such as UC, Yucca, and OSCON programmed in languages such as Lisp, Prolog, OPS-5, and C which have been developed to provide UNIX help. These systems range from being menu-based to ones with natural language interfaces, some providing active help, intervening when they believe the user to have misconceptions, and some based on empirical studies of what users actually do while using UNIX. Further papers investigate planning and knowledge representation where the focus is on discovering what the user wants to do, and figuring out a way to do it, as well as representing the knowledge needed to do so. There is a significant focus on natural language dialogue where consultation systems can become active, incorporating user modfelling, natural language generation and plan recognition, modelling metaphors, and users' mistaken beliefs. Much can be learned from seeing how AI and CS techniques can be investigated in depth while being applied to a real test-bed domain such as help on UNIX.
Author: Philip R. Cohen Publisher: MIT Press ISBN: 9780262031509 Category : Language Arts & Disciplines Languages : en Pages : 532
Book Description
Intentions in Communication brings together major theorists from artificial intelligence and computer science, linguistics, philosophy, and psychology whose work develops the foundations for an account of the role of intentions in a comprehensive theory of communication. It demonstrates, for the first time, the emerging cooperation among disciplines concerned with the fundamental role of intention in communication.The fourteen contributions in this book address central questions about the nature of intention as it is understood in theories of communication, the crucial role of intention recognition in understanding utterances, the use of principles of rational interaction in interpreting speech acts, the contribution of intonation contours to intention recognition, and the need for more general models of intention that support a view of dialogue as a collaborative activity.The contributors are Michael E. Bratman, Philip R. Cohen, Hector J. Levesque, Martha E. Pollack, Henry Kautz, Andrew J. I. Jones, C. Raymond Perrault, Daniel Vanderveken, Janet Pierrehumbert, Julia Hirschberg, Richmond H. Thomason, Diane J Litman, James F. Allen, John R. Searle, Barbara J. Grosz, Candace L. Sidner, Herbert H. Clark and Deanna Wilkes-Gibbs. The book also includes commentaries by James F. Allen, W. A Woods, Jerry Morgan, Jerrold M. Sadock Jerry R. Hobbs, and Kent Bach.Philip R. Cohen is a Senior Computer Scientist at the Artificial Intelligence Center at SRI International and is a Senior Researcher with the Center for the Study of Language and Information; Jerry Morgan is Associate Professor, Department of Linguistics and Beckman Institute for Advanced Science and Technology at the University of Illinois; Martha E. Pollack is a Computer Scientist at the Artificial Intelligence Center at SRI International and is a Senior Researcher with the Center for the Study of Language and Information. Intentions in Communication is included in the System Development Foundation Benchmark Series.
Author: Steven G. Woods Publisher: Springer Science & Business Media ISBN: 1461554616 Category : Computers Languages : en Pages : 206
Book Description
The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. This monograph describes our research effort in attacking this problem. It discusses our theory of how a constraint-based approach to program plan recognition can efficiently extract design concepts from source code, and it details experiments in concept recovery that support our claims of scalability. Importantly, we present our models and experiments in sufficient detail so that they can be easily replicated. This book is intended for researchers or software developers concerned with reverse engineering or reengineering legacy systems. However, it may also interest those researchers who are interested using plan recognition techniques or constraint-based reasoning. We expect the reader to have a reasonable computer science background (i.e., familiarity with the basics of programming and algorithm analysis), but we do not require familiarity with the fields of reverse engineering or artificial intelligence (AI). To this end, we carefully explain all the AI techniques we use. This book is designed as a reference for advanced undergraduate or graduate seminar courses in software engineering, reverse engineering, or reengineering. It can also serve as a supplementary textbook for software engineering-related courses, such as those on program understanding or design recovery, for AI-related courses, such as those on plan recognition or constraint satisfaction, and for courses that cover both topics, such as those on AI applications to software engineering. ORGANIZATION The book comprises eight chapters.
Author: Sandra Carberry
Author: Sandra Carberry
Author: Reuth Reuth Mirsky
Author: Gita Sukthankar
Author: Alexander Kott
Author: H.-J. Bullinger
Author: James Allen
Author: Charles H. Fay
Author: Stephen J. Hegner
Author: Philip R. Cohen
Author: Steven G. Woods