Catalogue of Artificial Intelligence Tools

Catalogue of Artificial Intelligence Tools

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  • Author: A. Bundy
  • Publisher: Springer Science & Business Media
  • ISBN: 3642968686
  • Category : Computers
  • Languages : en
  • Pages : 173

The purpose of this catalogue is to promote interaction between members of the AI' community. It will do this by announcing the existence of Ai techniques and portable software. and acting as a pOinter into the literature. Thus the AI community wili have access to a common. extensional definition of the field. which will: promote a common terminology. discourage the reinvention of wheels. and act as a clearing house for ideas and software. The cataiogue is a reference work providing a quick guide to the AI tools available for different jobs. It is not intended to be a textbook like the Artificial Intelligence Handbook. It. intentionally. only provides a brief description of each tool. with no extended discussion of the historical origin of the tool or how it has been used in particular AI programs, The focus is on techniques abstracted from their historical origins. The original version of the catalogue. was hastily built in 1983 as part of the UK SERC-Dol. IKBS. Architecture Study [lKBS Architecture Study 831. it has now been adopted by the SERC Specially Promoted Programme in IKBS and is kept as an on line document undergoing constant revision and refinement and published as a paperback by Springer Verlag.


Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques

Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques

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  • Author: Vladik Kreinovich
  • Publisher: Springer Nature
  • ISBN: 3031099745
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 136

Modern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI.


Artificial Intelligence

Artificial Intelligence

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  • Author:
  • Publisher:
  • ISBN:
  • Category : Artificial intelligence
  • Languages : en
  • Pages :


Knowledge Engineering Tools and Techniques for AI Planning

Knowledge Engineering Tools and Techniques for AI Planning

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  • Author: Mauro Vallati
  • Publisher: Springer Nature
  • ISBN: 3030385612
  • Category : Computers
  • Languages : en
  • Pages : 277

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.


Artificial Intelligence

Artificial Intelligence

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  • Author: Tim O'Shea
  • Publisher: John Wiley & Sons
  • ISBN: 9780471603436
  • Category :
  • Languages : en
  • Pages :


AI Tools and Techniques

AI Tools and Techniques

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  • Author: Mark H. Richer
  • Publisher: Intellect Books
  • ISBN:
  • Category : Computers
  • Languages : en
  • Pages : 392

An in-depth description and analysis of some of the most important tools and techniques that are available to the professional artificial intelligence programmer, researcher, or student are presented in this text.


New Trends in Intelligent Software Methodologies, Tools and Techniques

New Trends in Intelligent Software Methodologies, Tools and Techniques

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  • Author: H. Fujita
  • Publisher: IOS Press
  • ISBN: 1643681958
  • Category : Computers
  • Languages : en
  • Pages : 728

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.


Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

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  • Author: Management Association, Information Resources
  • Publisher: IGI Global
  • ISBN: 152251760X
  • Category : Computers
  • Languages : en
  • Pages : 3048

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.


Transforming Management Using Artificial Intelligence Techniques

Transforming Management Using Artificial Intelligence Techniques

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  • Author: Vikas Garg
  • Publisher: CRC Press
  • ISBN: 1000209989
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 201

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.


Knowledge Engineering Tools and Techniques for AI Planning

Knowledge Engineering Tools and Techniques for AI Planning

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  • Author:
  • Publisher:
  • ISBN: 9783030385620
  • Category : Artificial intelligence
  • Languages : en
  • Pages :

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.