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Introduction To Symbolic Plan And Goal Recognition Reuth Mirsky

  • SKU: BELL-42806522
Introduction To Symbolic Plan And Goal Recognition Reuth Mirsky
$ 31.00 $ 45.00 (-31%)

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Introduction To Symbolic Plan And Goal Recognition Reuth Mirsky instant download after payment.

Publisher: Morgan & Claypool
File Extension: PDF
File size: 29.87 MB
Pages: 190
Author: Reuth Mirsky, Sarah Keren, Christopher Geib
ISBN: 9781636390437, 1636390439
Language: English
Year: 2021

Product desciption

Introduction To Symbolic Plan And Goal Recognition Reuth Mirsky by Reuth Mirsky, Sarah Keren, Christopher Geib 9781636390437, 1636390439 instant download after payment.

This is a high-level introduction and overview of plan and goal recognition including the core elements and practical advice for modeling them. Along with activity recognition, these areas of research play 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 much more.
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. 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.

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