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Author : Anonim
Publisher : Bookboon
Page : 240 pages
File Size : 42,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9788776815592
Author : Anna O'Donnell
Publisher : Createspace Independent Publishing Platform
Page : 258 pages
File Size : 53,7 Mb
Release : 2016-01-29
Category : Electronic
ISBN : 1523462337
This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements, which can be used as a learning material for students pursuing their studies in undergraduate and graduate levels in universities and colleges and those who want to learn the topic via a short and complete resource. We hope you find this book useful in shaping your future career.
Author : Anonim
Publisher : Bookboon
Page : 154 pages
File Size : 55,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9788776815288
Author : David D. Luxton
Publisher : Academic Press
Page : 308 pages
File Size : 55,6 Mb
Release : 2015-09-10
Category : Psychology
ISBN : 9780128007921
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings
Author : M. Villaret,T. Alsinet,C. Fernández
Publisher : IOS Press
Page : 486 pages
File Size : 43,6 Mb
Release : 2021-10-14
Category : Computers
ISBN : 9781643682112
Artificial intelligence has become an indispensible part of our lives in recent years, affecting all aspects from business and leisure to transport and health care. This book presents the proceedings of the 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), an annual event that serves as a meeting point for researchers in Artificial Intelligence in the area of the Catalan speaking territories and from around the world. The 2021 edition was held online as a virtual conference from 20 - 22 October 2021 due to the COVID-19 pandemic. The book contains 42 long papers and 9 short papers, carefully reviewed and selected. The papers cover all aspects of artificial intelligence and are divided under six section headings: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science and decision support systems; machine learning; computer vision; and explainability and argumentation. Abstracts of the 2 invited talks delivered at the conference by Prof. Patty Kostkova and Prof. João Marques-Silva are also included. Offering a state of the art overview of the subject from a regional perspective, the book will be of interest to all those working in the field of artificial intelligence.
Author : Ning Zhong
Publisher : World Scientific
Page : 532 pages
File Size : 41,6 Mb
Release : 2001
Category : Computers
ISBN : 9789810247065
This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes a multi-faceted, holistic view of this emerging technology, from its computational foundations ? in terms of models, methodologies, and tools for developing a variety of embodiments of agent-based systems ? to its practical impact on tackling real-world problems.
Author : Michele Colledanchise,Petter Ögren
Publisher : CRC Press
Page : 316 pages
File Size : 41,6 Mb
Release : 2018-07-20
Category : Computers
ISBN : 9780429950896
Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs. This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice. Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion. This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.
Author : Joost Nico Kok
Publisher : EOLSS Publications
Page : 418 pages
File Size : 46,8 Mb
Release : 2009-12-20
Category : Artificial intelligence
ISBN : 9781848261259
Artificial Intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty Encyclopedias. The Theme on Artificial Intelligence provides the essential aspects and fundamentals of Artificial Intelligence: Definition, Trends, Techniques, and Cases; Logic in Artificial Intelligence (AI); Computational Intelligence; Knowledge Based System Development Tools. It is aimed at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers.
Author : Luc Steels,Barbara Smith
Publisher : Springer Science & Business Media
Page : 267 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447118527
AISB91 is the eighth conference organized by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. It is not only the oldest regular conference in Europe on AI - which spawned the ECAI conferences in 1982 - but it is also the conference that has a tradition for focusing on research as opposed to applications. The 1991 edition of the conference was no different in this respect. On the contrary, research, and particularly newly emerging research dir ections such as knowledge level expert systems research, neural networks and emergent functionality in autonomous agents, was strongly emphasised. The conference was organized around the following sessions: dis tributed intelligent agents, situatedness and emergence in autonomous agents, new modes of reasoning, the knowledge level perspective, and theorem proving and machine learning. Each of these sessions is discussed below in more detail. DISTRIBUTED INTELLIGENT AGENTS Research in distributed AI is concerned with the problem of how multiple agents and societies of agents can be organized to co-operate and collectively solve a problem. The first paper by Chakravarty (MIT) focuses on the problem of evolving agents in the context of Minsky's society of mind theory. It addesses the question of how new agents can be formed by transforming existing ones and illustrates the theory with an example from game playing. Smieja (GMD, Germany) focuses on the problem of organizing networks of agents which consist internally of neural networks.
Author : Anonim
Publisher : Bookboon
Page : 202 pages
File Size : 41,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9788776815929
Author : Nicholas R. Jennings,Michael J. Wooldridge
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783662036785
The first book to provide an integrative presentation of the issues, challenges and success of designing, building and using agent applications. The chapters presented are written by internationally leading authorities in the field, with a general audience in mind. The result is a unique overview of agent technology applications, ranging from an introduction to the technical foundations to reports on dealing with specific agent systems in practice.
Author : Sascha Ossowski
Publisher : Springer
Page : 228 pages
File Size : 45,6 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540492122
Advances in Computer Science often arise from new ideas and concepts, that prove to be advantageous for the design of complex software systems. The con ception of multi agent systems is particularly attractive, as it prommodul ises arity based on the conceptual speciality of an agent, as well as flexibility in their inte gration through appropriate interaction models. While early systems drew upon co operative agents, recent developments have realised the importance of the notion of autonomy in the design of agent based applications. The emergence of systems of autonomous problem solving agents paves the way for complex Artificial Intelligence applications that allow fosca r lability and at the same time foster the reusability of their components. In consequence, an intelligent multi agent application can be seen as a collec tion of autonomous agents, usually specialised in different tasks, together with a social model of their interactions. This approach implies a dynamic generation of complex relational structures, that agents need to be knowledgeable of in order to successfully achieve their goals. Therefore, a multi agent system designer needs to think carefully about conceptualisation, representation and enactment of the different types of knowledge that its agents rely on, for individual problem solving as well as for mutual co ordination.
Author : Tankiso Moloi,Tshilidzi Marwala
Publisher : Springer Nature
Page : 131 pages
File Size : 46,8 Mb
Release : 2020-05-07
Category : Computers
ISBN : 9783030429621
As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.
Author : A. Cortés,F. Grimaldo,T. Flaminio
Publisher : IOS Press
Page : 390 pages
File Size : 48,8 Mb
Release : 2022-11-03
Category : Computers
ISBN : 9781643683270
Artificial intelligence has become an integral part of all our lives. Development is rapid in this exciting and far-reaching field, and keeping up to date with the latest research and innovation is crucial to all those working with the technology. This book presents the proceedings of the 24th edition of CCIA, the International Conference of the Catalan Association for Artificial Intelligence, held in Sitges, Spain, from 19 – 21 October 2022. This annual event serves as a meeting point not only for researchers in AI from the Catalan speaking territories (southern France, Catalonia, Valencia, the Balearic Islands and Alghero in Italy) but for researchers from around the world. The programme committee received 59 submissions, from which the 26 long papers and 23 short papers selected for presentation at the conference by the 62 experts who make up the committee are included here. The book is divided into the following sections: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science, recommender systems and decision support systems; machine learning; computer vision; and explainability and argumentation. This book also includes an abstract of the invited talk given by Prof. Fosca Giannotti. Providing a comprehensive overview of research and development, this book will be of interest to all those working in the field of Artificial Intelligence.
Author : Franz Baader,Gerhard Brewka,Thomas Eiter
Publisher : Springer Science & Business Media
Page : 484 pages
File Size : 41,7 Mb
Release : 2001-09-05
Category : Computers
ISBN : 9783540426127
This book constitutes the refereed proceedings of the Joint German/Austrian Conference on Artificial Intelligence, KI 2001, held in Vienna, Austria in September 2001. The 29 revised full technical papers presented together with one invited paper and four posters of industrial papers were carefully reviewed and selected from 79 submissions. All current aspects in AI are addressed, ranging from theoretical and foundational issues to industrial applications.
