Uncertainty In Artificial Intelligence 2
Download Uncertainty In Artificial Intelligence 2 full books in PDF, epub, and Kindle. Read online free Uncertainty In Artificial Intelligence 2 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Uncertainty in Artificial Intelligence 2
Author | : L.N. Kanal,J.F. Lemmer |
Publsiher | : Elsevier |
Total Pages | : 469 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 9781483296531 |
Download Uncertainty in Artificial Intelligence 2 Book in PDF, Epub and Kindle
This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.
Artificial Intelligence with Uncertainty
Author | : Deyi Li,Yi Du |
Publsiher | : CRC Press |
Total Pages | : 290 |
Release | : 2017-05-18 |
Genre | : Mathematics |
ISBN | : 9781498776271 |
Download Artificial Intelligence with Uncertainty Book in PDF, Epub and Kindle
This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
Uncertainty in Artificial Intelligence
Author | : Laveen N. Kanal,John F. Lemmer |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 1988 |
Genre | : Electronic Book |
ISBN | : OCLC:933816573 |
Download Uncertainty in Artificial Intelligence Book in PDF, Epub and Kindle
Uncertainty in Artificial Intelligence
Author | : Didier J. Dubois,Michael P. Wellman,Bruce D'Ambrosio |
Publsiher | : Morgan Kaufmann |
Total Pages | : 378 |
Release | : 2014-05-12 |
Genre | : Computers |
ISBN | : 9781483282879 |
Download Uncertainty in Artificial Intelligence Book in PDF, Epub and Kindle
Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.
Uncertainty in Artificial Intelligence 5
Author | : R.D. Shachter,L.N. Kanal,M. Henrion,J.F. Lemmer |
Publsiher | : Elsevier |
Total Pages | : 456 |
Release | : 2017-03-20 |
Genre | : Computers |
ISBN | : 9781483296555 |
Download Uncertainty in Artificial Intelligence 5 Book in PDF, Epub and Kindle
This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternative formalisms (including possibilistic reasoning), Dempster-Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes, and new inference techniques for belief nets. New techniques are applied to important problems in medicine, vision, robotics, and natural language understanding.
Uncertainty in Artificial Intelligence 4
Author | : T.S. Levitt,L.N. Kanal,J.F. Lemmer,R.D. Shachter |
Publsiher | : Elsevier |
Total Pages | : 422 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 9781483296548 |
Download Uncertainty in Artificial Intelligence 4 Book in PDF, Epub and Kindle
Clearly illustrated in this volume is the current relationship between Uncertainty and AI. It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.
Handling Uncertainty in Artificial Intelligence
Author | : Jyotismita Chaki |
Publsiher | : Springer Nature |
Total Pages | : 111 |
Release | : 2023-08-06 |
Genre | : Technology & Engineering |
ISBN | : 9789819953332 |
Download Handling Uncertainty in Artificial Intelligence Book in PDF, Epub and Kindle
This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.
Uncertainty in Artificial Intelligence
Author | : MKP |
Publsiher | : Elsevier |
Total Pages | : 625 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 9781483298603 |
Download Uncertainty in Artificial Intelligence Book in PDF, Epub and Kindle
Uncertainty Proceedings 1994