AM PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download AM PDF full book. Access full book title AM by Douglas B. Lenat. Download full books in PDF and EPUB format.
Author: Douglas B. Lenat
Publisher:
ISBN:
Category :
Languages : en
Pages : 345
Get Book Here
Book Description
Author: Douglas B. Lenat
Publisher:
ISBN:
Category :
Languages : en
Pages : 345
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 345
Get Book Here
Book Description
Author: Douglas Bruce Lenat
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 758
Get Book Here
Book Description
Author: M. Tim Jones
Publisher: Jones & Bartlett Learning
ISBN: 9781449631154
Category : Computers
Languages : en
Pages : 522
Get Book Here
Book Description
This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This “sensor / algorithm / effecter” approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book.
Author: Derek Partridge
Publisher: Cambridge University Press
ISBN: 9780521359443
Category : Computers
Languages : en
Pages : 516
Get Book Here
Book Description
This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
Author: Nils J. Nilsson
Publisher: Morgan Kaufmann
ISBN: 1483295869
Category : Computers
Languages : en
Pages : 493
Get Book Here
Book Description
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
Author: G. Mauri
Publisher: Elsevier
ISBN: 044459728X
Category : Computers
Languages : en
Pages : 246
Get Book Here
Book Description
The focus of this volume is ``Heterogeneous Knowledge and Problem Solving Integration'', i.e. the combined use of different knowledge representation and problem solving paradigms.This is a central topic for the design and implementation of problem solving systems, since, from a pragmatic and engineering standpoint, the solution of a large class of problems cannot take place within one single representation language or problem solving paradigm. Heterogeneous systems represent not only a pragmatic answer, but also a theoretical alternative to the homogeneous paradigms.
Author: Ashwin Ram
Publisher: MIT Press
ISBN: 9780262181655
Category : Computers
Languages : en
Pages : 548
Get Book Here
Book Description
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book
Author: Marvin Minsky
Publisher: Simon and Schuster
ISBN: 1416579303
Category : Science
Languages : en
Pages : 400
Get Book Here
Book Description
In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are. Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.
Author: Stephan Chalup
Publisher: Springer
ISBN: 3319148036
Category : Computers
Languages : en
Pages : 460
Get Book Here
Book Description
This book constitutes the refereed proceedings of the First Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015, held in Newcastle, NSW, Australia, in February 2015. The 34 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in the following topical sections: philosophy and theory; game environments and methods; learning, memory and optimization; and applications and implementations.
