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Structure And Inference In Classical Planning
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Book Synopsis Structure and Inference in Classical Planning by : Nir Lipovetzky
Download or read book Structure and Inference in Classical Planning written by Nir Lipovetzky and published by Lulu.com. This book was released on 2014-09-16 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical planning is the problem of finding a sequence of actions for achieving a goal from an initial state assuming that actions have deterministic effects. The most effective approach for finding such plans is based on heuristic search guided by heuristics extracted automatically from the problem representation. In this thesis, we introduce alternative approaches for performing inference over the structure of planning problems that do not appeal to heuristic functions, nor to reductions to other formalisms such as SAT or CSP. We show that many of the standard benchmark domains can be solved with almost no search or a polynomially bounded amount of search, once the structure of planning problems is taken into account. In certain cases we can characterize this structure in terms of a novel width parameter for classical planning.
Book Synopsis Logics in Artificial Intelligence by : Eduardo Fermé
Download or read book Logics in Artificial Intelligence written by Eduardo Fermé and published by Springer. This book was released on 2014-09-16 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th European Conference on Logics in Artificial Intelligence, JELIA 2014, held in Funchal, Madeira, Portugal, in September 2014. The 35 full papers and 14 short papers included in this volume were carefully reviewed and selected from 121 submissions. They are organized in topical sections named: description logics; automated reasoning; logics for uncertain reasoning; non-classical logics; answer-set programming; belief revision; dealing with inconsistency in ASP and DL; reason about actions and causality; system descriptions; short system descriptions; and short papers. The book also contains 4 full paper invited talks.
Download or read book Discovery Science written by João Gama and published by Springer. This book was released on 2009-10-07 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the twelfth International Conference, on Discovery Science, DS 2009, held in Porto, Portugal, in October 2009. The 35 revised full papers presented were carefully selected from 92 papers. The scope of the conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their applications.
Book Synopsis Model Checking and Artificial Intelligence by : Ron van der Meyden
Download or read book Model Checking and Artificial Intelligence written by Ron van der Meyden and published by Springer. This book was released on 2011-04-21 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents revised versions of selected papers from the 6th Workshop on Model Checking and Artificial Intelligence, MoChArt 2010, held in Atlanta, GA, USA in July 2010, as well as papers contributed subsequent to the workshop. The 7 papers presented were carefully reviewed and selected for inclusion in this book. In addition, the book also contains an extended abstract of the invited talk held at the workshop. The topics covered by these papers are general search algorithms, application of AI techniques to automated program verification, multiagent systems and epistemic logic, abstraction, epistemic model checking, and theory of model checking.
Book Synopsis Reasoning About Actions & Plans by : Michael P. Georgeff
Download or read book Reasoning About Actions & Plans written by Michael P. Georgeff and published by Elsevier. This book was released on 2012-12-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reasoning About Actions and Plans discusses approaches to a number of the more challenging problems in reasoning about the future and forming plans of action to achieve their goals. Reasoning about actions and plans can be seen as fundamental to the development of intelligent machines that are capable of dealing effectively with real-world problems. This book comprises 17 chapters, with the first delving into the semantics of STRIPS. The following chapters then discuss a theory of plans; formulating multiagent, dynamic-world problems in the classical planning framework; and a representation of parallel activity based on events, structure, and causality. Other chapters cover branching regular expressions and multi-agent plans; a representation of action and belief for automatic planning systems; possible worlds planning; and intractability and time-dependent planning. The remaining chapters discuss goal structure, holding periods and "clouds"; a model of plan inference that distinguishes between the beliefs of actors and observers; persistence, intention, and commitment; the context-sensitivity of belief and desire; the doxastic theory of intention; an architecture for intelligent reactive systems; and abstract reasoning as emergent from concrete activity. This book will be of interest to practitioners in the fields of cognition and artificial intelligence.
Book Synopsis Plan, Activity, and Intent Recognition by : Gita Sukthankar
Download or read book Plan, Activity, and Intent Recognition written by Gita Sukthankar and published by Newnes. This book was released on 2014-03-03 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence Planning Systems by : James Hendler
Download or read book Artificial Intelligence Planning Systems written by James Hendler and published by Elsevier. This book was released on 2014-06-28 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Springer Handbook of Robotics by : Bruno Siciliano
Download or read book Springer Handbook of Robotics written by Bruno Siciliano and published by Springer Science & Business Media. This book was released on 2008-05-20 with total page 1626 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the science of robotics undergoing a major transformation just now, Springer’s new, authoritative handbook on the subject couldn’t have come at a better time. Having broken free from its origins in industry, robotics has been rapidly expanding into the challenging terrain of unstructured environments. Unlike other handbooks that focus on industrial applications, the Springer Handbook of Robotics incorporates these new developments. Just like all Springer Handbooks, it is utterly comprehensive, edited by internationally renowned experts, and replete with contributions from leading researchers from around the world. The handbook is an ideal resource for robotics experts but also for people new to this expanding field.
Book Synopsis From Motor Learning to Interaction Learning in Robots by : Olivier Sigaud
Download or read book From Motor Learning to Interaction Learning in Robots written by Olivier Sigaud and published by Springer Science & Business Media. This book was released on 2010-02-04 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: From an engineering standpoint, the increasing complexity of robotic systems and the increasing demand for more autonomously learning robots, has become essential. This book is largely based on the successful workshop “From motor to interaction learning in robots” held at the IEEE/RSJ International Conference on Intelligent Robot Systems. The major aim of the book is to give students interested the topics described above a chance to get started faster and researchers a helpful compandium.
Book Synopsis What Social Robots Can and Should Do by : J. Seibt
Download or read book What Social Robots Can and Should Do written by J. Seibt and published by IOS Press. This book was released on 2016-10-14 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social robotics drives a technological revolution of possibly unprecedented disruptive potential, both at the socio-economic and the socio-cultural level. The rapid development of the robotics market calls for a concerted effort across a wide spectrum of academic disciplines to understand the transformative potential of human-robot interaction. This effort cannot succeed without the special expertise in the study of socio-cultural interactions, norms, and values that humanities research provides. This book contains the proceedings of the conference “What Social Robots Can and Should Do,” Robophilosophy 2016 / TRANSOR 2016, held in Aarhus, Denmark, in October 2016. The conference is the second event in the biennial Robophilosophy conference series, this time combined with an event of the Research Network for Transdisciplinary Studies in Social Robotics (TRANSOR). Featuring 13 plenaries and 74 session and workshop talks, the event turned out to be the world’s largest conference in Humanities research in and on social robotics. The book is divided into 3 sections: Part I and Part III contain the abstracts of plenary lectures and contributions to 6 workshops: Artificial Empathy; Co-Designing Children Robot Interaction; Human-Robot Joint Action; Phronesis for Machine Ethics?; Robots in the Wild; and Responsible Robotics. Part II contains short papers for presentations in 7 thematically organized sessions: methodological issues; ethical tasks and implications; emotions in human robot interactions; education, art and innovation; artificial meaning and rationality; social norms and robot sociality; and perceptions of social robots. The book will be of interest to researchers in philosophy, anthropology, sociology, psychology, linguistics, cognitive science, robotics, computer science, and art. Since all contributions are prepared for an interdisciplinary readership, they are highly accessible and will be of interest to policy makers and educators who wish to gauge the challenges and potentials of putting robots in society.
Book Synopsis Intelligent Systems for Engineering by : Ram D. Sriram
Download or read book Intelligent Systems for Engineering written by Ram D. Sriram and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities.
Book Synopsis Knowledge Engineering and Agent Technology by : J. Cuena
Download or read book Knowledge Engineering and Agent Technology written by J. Cuena and published by IOS Press. This book was released on 2004 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of Knowledge Engineering and Agent Technology (KEAT) for application development is now recognized as an alternative to conventional software techniques in many application domains. From the background of the IFIP IT&KNOWS conference held in late 1998, this volume aims to discuss the role and the perspectives of domain models and corresponding reasoning processes in the different application fields under a common perspective to create conceptual bases and methods to develop and to improve the use of this type of approach in the context of information technology.
Book Synopsis Advances in Machine Learning II by : Jacek Koronacki
Download or read book Advances in Machine Learning II written by Jacek Koronacki and published by Springer. This book was released on 2009-11-27 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of exp- tise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and excepti- ally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.
Book Synopsis Journal of Statistical Planning and Inference by : North-Holland Publishing Company
Download or read book Journal of Statistical Planning and Inference written by North-Holland Publishing Company and published by . This book was released on 2000 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Adaptive Control by : G.C. Goodwin
Download or read book Robust Adaptive Control written by G.C. Goodwin and published by Elsevier. This book was released on 2014-05-23 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The workshop brought together international experts in the field of robust adaptive control to present recent developments in the area. These indicated that the theory of adaptive control is moving closer to applications and is beginning to give realistic guidelines useful in practical situations. The proceedings also focused on the value of such practical features as filtering, normalization, deadzones and unification of robust control and adaptation.
Book Synopsis Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) by : William Frere Lawless
Download or read book Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) written by William Frere Lawless and published by Frontiers Media SA. This book was released on 2023-03-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Concept Formation and Knowledge Revision by : Stefan Wrobel
Download or read book Concept Formation and Knowledge Revision written by Stefan Wrobel and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental assumption of work in artificial intelligence and machine learning is that knowledge is expressed in a computer with the help of knowledge representations. Since the proper choice of such representations is a difficult task that fundamentally affects the capabilities of a system, the problem of automatic representation change is an important topic in current research. Concept Formation and Knowledge Revision focuses on representation change as a concept formation task, regarding concepts as the elementary representational vocabulary from which further statements are constructed. Taking an interdisciplinary approach from psychological foundations to computer implementations, the book draws on existing psychological results about the nature of human concepts and concept formation to determine the scope of concept formation phenomena, and to identify potential components of computational concept formation models. The central idea of this work is that computational concept formation can usefully be understood as a process that is triggered in a demand-driven fashion by the representational needs of the learning system, and identify the knowledge revision activities of a system as a particular context for such a process. The book presents a detailed analysis of the revision problem for first-order clausal theories, and develops a set of postulates that any such operation should satisfy. It shows how a minimum theory revision operator can be realized by using exception sets, and that this operator is indeed maximally general. The book then shows that concept formation can be triggered from within the knowledge revision process whenever the existing representation does not permit the plausible reformulation of an exception set, demonstrating the usefulness of the approach both theoretically and empirically within the learning knowledge acquisition system MOBAL. In using a first-order representation, this book is part of the rapidly developing field of Inductive Logic Programming (ILP). By integrating the computational issues with psychological and fundamental discussions of concept formation phenomena, the book will be of interest to readers both theoretically and psychologically inclined. From the foreword by Katharina Morik: ` The ideal to combine the three sources of artificial intelligence research has almost never been reached. Such a combined and integrated research requires the researcher to master different ways of thinking, different work styles, different sets of literature, and different research procedures. It requires capabilities in software engineering for the application part, in theoretical computer science for the theory part, and in psychology for the cognitive part. The most important capability for artificial intelligence is to keep the integrative view and to create a true original work that goes beyond the collection of pieces from different fields. This book achieves such an integrative view of concept formation and knowledge revision by presenting the way from psychological investigations that indicate that concepts are theories and point at the important role of a demand for learning. to an implemented system which supports users in their tasks when working with a knowledge base and its theoretical foundation. '
