Knowledge Engineering Tools And Techniques For Ai Planning

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Knowledge Engineering Tools and Techniques for AI Planning

Author : Mauro Vallati
Publisher : Springer Nature
ISBN 13 : 3030385612
Total Pages : 277 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Knowledge Engineering Tools and Techniques for AI Planning by : Mauro Vallati

Download or read book Knowledge Engineering Tools and Techniques for AI Planning written by Mauro Vallati and published by Springer Nature. This book was released on 2020-03-25 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Engineering Tools and Techniques for AI Planning

Author :
Publisher :
ISBN 13 : 9783030385620
Total Pages : pages
Book Rating : 4.3/5 (856 download)

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Book Synopsis Knowledge Engineering Tools and Techniques for AI Planning by :

Download or read book Knowledge Engineering Tools and Techniques for AI Planning written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Engineering and Knowledge Management. Methods, Models, and Tools

Author : Rose Dieng
Publisher : Springer
ISBN 13 : 3540399674
Total Pages : 462 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Knowledge Engineering and Knowledge Management. Methods, Models, and Tools by : Rose Dieng

Download or read book Knowledge Engineering and Knowledge Management. Methods, Models, and Tools written by Rose Dieng and published by Springer. This book was released on 2003-07-31 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000, held in Juan-les-Pins, France in October 2000. The 28 revised full papers and six revised short papers presented were carefully reviewed and selected from a high number of high-quality submissions. The book offers topical sections on knowledge modeling languages and tools, ontologies, knowledge acquisition from texts, machine learning, knowledge management and electronic commerce, problem solving methods, knowledge representation, validation, evaluation and certification, and methodologies.

New Trends in Intelligent Software Methodologies, Tools and Techniques

Author : H. Fujita
Publisher : IOS Press
ISBN 13 : 1643681958
Total Pages : 728 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis New Trends in Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book New Trends in Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2021-09-28 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of AI with software is an essential enabler for science and the new economy, creating new markets and opportunities for a more reliable, flexible and robust society. Current software methodologies, tools and techniques often fall short of expectations, however, and much software remains insufficiently robust and reliable for a constantly changing and evolving market. This book presents 54 papers delivered at the 20th edition of the International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT_21), held in Cancun, Mexico, from 21–23 September 2021. The aim of the conference was to capture the essence of a new state-of-the-art in software science and its supporting technology and to identify the challenges that such a technology will need to master, and this book explores the new trends and theories illuminating the direction of development in this field as it heads towards a transformation in the role of software and science integration in tomorrow’s global information society. The 54 revised papers were selected for publication by means of a rigorous review process involving 3 or 4 reviewers for each paper, followed by selection by the SoMeT_21 international reviewing committee. The book is divided into 9 chapters, classified by paper topic and relevance to the chapter theme. Covering topics ranging from research practices, techniques and methodologies to proposing and reporting on the solutions required by global business, the book offers an opportunity for the software science community to consider where they are today and where they are headed in the future.

AIxIA 2020 – Advances in Artificial Intelligence

Author : Matteo Baldoni
Publisher : Springer Nature
ISBN 13 : 3030770915
Total Pages : 468 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis AIxIA 2020 – Advances in Artificial Intelligence by : Matteo Baldoni

Download or read book AIxIA 2020 – Advances in Artificial Intelligence written by Matteo Baldoni and published by Springer Nature. This book was released on 2021-05-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post proceedings of the XIXth International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, held in Milano, Italy, in November 2020.Due to the COVID-19 pandemic, the conference was "rebooted"/ re-organized w.r.t. the original format. The 27 full papers were carefully reviewed and selected from 89 submissions. The society aims at increasing the public awareness of Artificial Intelligence, encouraging the teaching and promoting research in the field.

Engineering Knowledge in the Age of the Semantic Web

Author : Enrico Motta
Publisher : Springer
ISBN 13 : 3540302026
Total Pages : 522 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Engineering Knowledge in the Age of the Semantic Web by : Enrico Motta

Download or read book Engineering Knowledge in the Age of the Semantic Web written by Enrico Motta and published by Springer. This book was released on 2011-03-22 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central themes of the 14th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2004) were ontological engineering and the Semantic Web. These provide the key foundational and delivery mechanisms for building open, Web-based knowledge services. However, consistent with the tradition of EKAW conferences, EKAW 2004 was concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, and its role in the construction of knowledge-intensive systems. Indeed a key aspect of the Knowledge Acquisition Workshops (KAWs) held in the US, Europe and Asia over the past 20 years has been the emphasis on ‘holistic’ knowledge engineering, addressing problem solving, usability, socio-technological factors and knowledge modelling, rather than simply analyzing and designing symbol-level inferential mechanisms. The papers included in this volume are thus drawn from a variety of research areas both at the cutting edge of research in ontologies and the Semantic Web and in the more traditionally grounded areas of knowledge engineering. A Semantic Web service can be seen as the addition of semantic technologies to Web services to produce Web-accessible services that can be described using appropriate ontologies, reasoned about and combined automatically. Since Web services can be seen as Web-accessible computational objects, much of the work in this area is also concerned with problem-solving methods (PSMs).

Machine Learning Methods for Planning

Author : Steven Minton
Publisher : Morgan Kaufmann
ISBN 13 : 1483221172
Total Pages : 554 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Methods for Planning by : Steven Minton

Download or read book Machine Learning Methods for Planning written by Steven Minton and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Methods for Planning provides information pertinent to learning methods for planning and scheduling. This book covers a wide variety of learning methods and learning architectures, including analogical, case-based, decision-tree, explanation-based, and reinforcement learning. Organized into 15 chapters, this book begins with an overview of planning and scheduling and describes some representative learning systems that have been developed for these tasks. This text then describes a learning apprentice for calendar management. Other chapters consider the problem of temporal credit assignment and describe tractable classes of problems for which optimal plans can be derived. This book discusses as well how reactive, integrated systems give rise to new requirements and opportunities for machine learning. The final chapter deals with a method for learning problem decompositions, which is based on an idealized model of efficiency for problem-reduction search. This book is a valuable resource for production managers, planners, scientists, and research workers.

Service-Oriented Computing

Author : Marco Aiello
Publisher : Springer Nature
ISBN 13 : 3031457285
Total Pages : 161 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Service-Oriented Computing by : Marco Aiello

Download or read book Service-Oriented Computing written by Marco Aiello and published by Springer Nature. This book was released on 2023-11-12 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Symposium and Summer School, SummerSOC 2023, held in Heraklion, Crete, Greece, in June 25–July 1, 2023. The 6 full papers and 3 short papers presented in this book were carefully reviewed and selected from 27 submissions. They are organized in the following sections as follows: Distributed Systems; Smart; and Mixed Technologies.

Abstraction, Reformulation, and Approximation

Author : Sven Koenig
Publisher : Springer
ISBN 13 : 3540456228
Total Pages : 352 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Abstraction, Reformulation, and Approximation by : Sven Koenig

Download or read book Abstraction, Reformulation, and Approximation written by Sven Koenig and published by Springer. This book was released on 2003-08-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been recognized since the inception of Artificial Intelligence (AI) that abstractions, problem reformulations, and approximations (AR&A) are central to human common sense reasoning and problem solving and to the ability of systems to reason effectively in complex domains. AR&A techniques have been used to solve a variety of tasks, including automatic programming, constraint satisfaction, design, diagnosis, machine learning, search, planning, reasoning, game playing, scheduling, and theorem proving. The primary purpose of AR&A techniques in such settings is to overcome computational intractability. In addition, AR&A techniques are useful for accelerating learning and for summarizing sets of solutions. This volume contains the proceedings of SARA 2002, the fifth Symposium on Abstraction, Reformulation, and Approximation, held at Kananaskis Mountain Lodge, Kananaskis Village, Alberta (Canada), August 2 4, 2002. The SARA series is the continuation of two separate threads of workshops: AAAI workshops in 1990 and 1992, and an ad hoc series beginning with the "Knowledge Compilation" workshop in 1986 and the "Change of Representation and Inductive Bias" workshop in 1988 with followup workshops in 1990 and 1992. The two workshop series merged in 1994 to form the first SARA. Subsequent SARAs were held in 1995, 1998, and 2000.

A Concise Introduction to Models and Methods for Automated Planning

Author : Hector Geffner
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608459705
Total Pages : 143 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis A Concise Introduction to Models and Methods for Automated Planning by : Hector Geffner

Download or read book A Concise Introduction to Models and Methods for Automated Planning written by Hector Geffner and published by Morgan & Claypool Publishers. This book was released on 2013-06-01 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography

A Concise Introduction to Models and Methods for Automated Planning

Author : Hector Radanovic
Publisher : Springer Nature
ISBN 13 : 3031015649
Total Pages : 132 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis A Concise Introduction to Models and Methods for Automated Planning by : Hector Radanovic

Download or read book A Concise Introduction to Models and Methods for Automated Planning written by Hector Radanovic and published by Springer Nature. This book was released on 2022-05-31 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. The main challenges in planning are computational as all models, whether featuring uncertainty and feedback or not, are intractable in the worst case when represented in compact form. In this book, we look at a variety of models used in AI planning, and at the methods that have been developed for solving them. The goal is to provide a modern and coherent view of planning that is precise, concise, and mostly self-contained, without being shallow. For this, we make no attempt at covering the whole variety of planning approaches, ideas, and applications, and focus on the essentials. The target audience of the book are students and researchers interested in autonomous behavior and planning from an AI, engineering, or cognitive science perspective. Table of Contents: Preface / Planning and Autonomous Behavior / Classical Planning: Full Information and Deterministic Actions / Classical Planning: Variations and Extensions / Beyond Classical Planning: Transformations / Planning with Sensing: Logical Models / MDP Planning: Stochastic Actions and Full Feedback / POMDP Planning: Stochastic Actions and Partial Feedback / Discussion / Bibliography / Author's Biography

Explainable and Transparent AI and Multi-Agent Systems

Author : Davide Calvaresi
Publisher : Springer Nature
ISBN 13 : 3031408780
Total Pages : 289 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable and Transparent AI and Multi-Agent Systems by : Davide Calvaresi

Download or read book Explainable and Transparent AI and Multi-Agent Systems written by Davide Calvaresi and published by Springer Nature. This book was released on with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Understanding Planning Tasks

Author : Malte Helmert
Publisher : Springer
ISBN 13 : 3540777237
Total Pages : 270 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Understanding Planning Tasks by : Malte Helmert

Download or read book Understanding Planning Tasks written by Malte Helmert and published by Springer. This book was released on 2008-01-23 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is a revised version of Malte Helmert's doctoral thesis, Solving Planning Tasks in Theory and Practice, written under the supervision of Professor Bernhard Nebel at Albert-Ludwigs-Universität Freiburg, Germany, in 2006. The book contains an exhaustive analysis of the computational complexity of the benchmark problems that have been used in the past decade. Not only that, but it also provides an in-depth analysis of so-called routing and transportation problems.

Knowledge Engineering and Knowledge Management

Author : Catherine Faron Zucker
Publisher : Springer
ISBN 13 : 3030036677
Total Pages : 586 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Knowledge Engineering and Knowledge Management by : Catherine Faron Zucker

Download or read book Knowledge Engineering and Knowledge Management written by Catherine Faron Zucker and published by Springer. This book was released on 2018-11-08 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018, held in Nancy, France, in November 2018. The 36 full papers presented were carefully reviewed and selected from 104 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "Knowledge and AI", i.e. papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.

A Hybrid Deliberative Layer for Robotic Agents

Author : Ronny Hartanto
Publisher : Springer
ISBN 13 : 3642225802
Total Pages : 215 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis A Hybrid Deliberative Layer for Robotic Agents by : Ronny Hartanto

Download or read book A Hybrid Deliberative Layer for Robotic Agents written by Ronny Hartanto and published by Springer. This book was released on 2011-07-18 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.

The 21st Century Industrial Robot: When Tools Become Collaborators

Author : Maria Isabel Aldinhas Ferreira
Publisher : Springer Nature
ISBN 13 : 3030785130
Total Pages : 286 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The 21st Century Industrial Robot: When Tools Become Collaborators by : Maria Isabel Aldinhas Ferreira

Download or read book The 21st Century Industrial Robot: When Tools Become Collaborators written by Maria Isabel Aldinhas Ferreira and published by Springer Nature. This book was released on 2021-10-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to discuss the technical and ethical challenges posed by the present technological framework and to highlight the fundamental role played by human-centred design and human factors in the definition of robotic architectures for human–robot collaboration. The book gives an updated overview of the most recent robotic technology, conceived and designed to collaborate with human beings in industrial working scenarios. The technological development of robotics over the last years and the fast evolution of AI, machine learning and IoT have paved the way for applications that extend far beyond the typical use of robots performing repetitive tasks in exclusive spaces. In this new technological paradigm that is expected to drive the robotics market in the coming years, robots and workers will coexist in the same workplace, sharing not only this lived space, but also the roles and functions inherent to a process of production, merging the benefits of automated and manual performing. However, having robots cooperating in real time with workers, responding in a physical, psychological and social adequate way, requires a human-centred design that not only calls for high safety standards regulating the quality of human–robot interaction, but also demands the robot's fine-grained perception and awareness of the dynamics of its surrounding environment, namely the behaviours of their human peers—their expected actions/responses—fostering the necessary collaborative efforts towards the accomplishment of the tasks to be executed.

Knowledge Management and Engineering with Decisional DNA

Author : Edward Szczerbicki
Publisher : Springer Nature
ISBN 13 : 3030396010
Total Pages : 262 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Knowledge Management and Engineering with Decisional DNA by : Edward Szczerbicki

Download or read book Knowledge Management and Engineering with Decisional DNA written by Edward Szczerbicki and published by Springer Nature. This book was released on 2020-02-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.