Automated Planning
Author: Malik Ghallab
Publisher: Elsevier
Published: 2004-05-03
Total Pages: 665
ISBN-13: 1558608567
DOWNLOAD EBOOK →Publisher Description
Author: Malik Ghallab
Publisher: Elsevier
Published: 2004-05-03
Total Pages: 665
ISBN-13: 1558608567
DOWNLOAD EBOOK →Publisher Description
Author: James Hendler
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 327
ISBN-13: 0080499449
DOWNLOAD EBOOK →Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.
Author: Mauro Vallati
Publisher: Springer Nature
Published: 2020-03-25
Total Pages: 277
ISBN-13: 3030385612
DOWNLOAD EBOOK →This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.
Author: James Hendler
Publisher: Morgan Kaufmann
Published: 1992
Total Pages: 340
ISBN-13: 9781558602502
DOWNLOAD EBOOK →Author: James Hendler
Publisher: Morgan Kaufmann
Published: 1997-11
Total Pages: 600
ISBN-13: 9781558602809
DOWNLOAD EBOOK →Author: Imdat As
Publisher: Elsevier
Published: 2022-05-14
Total Pages: 404
ISBN-13: 0128239425
DOWNLOAD EBOOK →Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology. Includes a cutting-edge catalogue of AI tools applied to smart city design and planning Provides case studies from around the globe at various scales Includes diagrams and graphics for course instruction
Author: Malik Ghallab
Publisher: Cambridge University Press
Published: 2016-08-09
Total Pages: 373
ISBN-13: 1107037271
DOWNLOAD EBOOK →This book presents the most recent and advanced techniques for creating autonomous AI systems capable of planning and acting effectively.
Author: David E. Wilkins
Publisher: Elsevier
Published: 2014-06-28
Total Pages: 205
ISBN-13: 0080514472
DOWNLOAD EBOOK →Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners. Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included. Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.
Author: Ioannis Vlahavas
Publisher: IGI Global
Published: 2005-01-01
Total Pages: 364
ISBN-13: 1591404525
DOWNLOAD EBOOK →The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, methods from knowledge systems for more expressive representation of knowledge and ideas from other areas such as Intelligent Agents. Apart from the thorough analysis and implementation details, each chapter of the book also provides extensive background information about its subject and presents and comments on similar approaches done in the past.
Author: Kristian J. Hammond
Publisher: Amer Assn for Artificial
Published: 1994
Total Pages: 354
ISBN-13: 9780929280561
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