Reasoning about Uncertainty

Filename: reasoning-about-uncertainty.pdf
ISBN: 9780262533805
Release Date: 2017-04-07
Number of pages: 504
Author: Joseph Y. Halpern
Publisher: MIT Press

Download and read online Reasoning about Uncertainty in PDF and EPUB Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics.

The Argumentative Turn in Policy Analysis

Filename: the-argumentative-turn-in-policy-analysis.pdf
ISBN: 9783319305493
Release Date: 2016-05-26
Number of pages: 353
Author: Sven Ove Hansson
Publisher: Springer

Download and read online The Argumentative Turn in Policy Analysis in PDF and EPUB ​This book describes argumentative tools and strategies that can be used to guide policy decisions under conditions of great uncertainty. Contributing authors explore methods from philosophical analysis and in particular argumentation analysis, showing how it can be used to systematize discussions about policy issues involving great uncertainty. The first part of the work explores how to deal in a systematic way with decision-making when there may be plural perspectives on the decision problem, along with unknown consequences of what we do. Readers will see how argumentation tools can be used for prioritizing among uncertain dangers, for determining how decisions should be framed, for choosing a suitable time frame for a decision, and for systematically choosing among different decision options. Case studies are presented in the second part of the book, showing argumentation in practice in the areas of climate geoengineering, water governance, synthetic biology, nuclear waste, and financial markets. In one example, argumentation analysis is applied to proposals to solve the climate problem with various technological manipulations of the natural climate system, such as massive dispersion of reflective aerosols into the stratosphere. Even after a thorough investigation of such a proposal, doubt remains as to whether all the potential risks have been identified. In such discussions, conventional risk analysis does not have much to contribute since it presupposes that the risks have been identified, whereas the argumentative approach to uncertainty management can be used to systematize discussions.

Heuristic Reasoning About Uncertainty

Filename: heuristic-reasoning-about-uncertainty.pdf
ISBN: 0273086677
Release Date: 1985
Number of pages: 204
Author: Paul R. Cohen
Publisher: Morgan Kaufmann Pub

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Reasoning About Knowledge

Filename: reasoning-about-knowledge.pdf
ISBN: 0262562006
Release Date: 2003
Number of pages: 517
Author: Ronald Fagin
Publisher: MIT Press

Download and read online Reasoning About Knowledge in PDF and EPUB Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.

Reasoning about Uncertainty in Robot Motion Planning

Filename: reasoning-about-uncertainty-in-robot-motion-planning.pdf
ISBN: OCLC:34331576
Release Date: 1994
Number of pages: 472
Author: Anthony Lazanas

Download and read online Reasoning about Uncertainty in Robot Motion Planning in PDF and EPUB Experimentation with the algorithm using a real mobile robot has been successful. By engineering the workspace, we have been able to satisfy all the assumptions of our planning model. As a result, the robot has been able to operate for long periods of time with no failures.

Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Filename: symbolic-and-quantitative-approaches-to-reasoning-and-uncertainty.pdf
ISBN: 354057395X
Release Date: 1993-10-20
Number of pages: 390
Author: Michael Clarke
Publisher: Springer Science & Business Media

Download and read online Symbolic and Quantitative Approaches to Reasoning and Uncertainty in PDF and EPUB In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.

Key Ideas in Teaching Mathematics

Filename: key-ideas-in-teaching-mathematics.pdf
ISBN: 9780191643422
Release Date: 2013-02-21
Number of pages: 272
Author: Anne Watson
Publisher: OUP Oxford

Download and read online Key Ideas in Teaching Mathematics in PDF and EPUB Big ideas in the mathematics curriculum for older school students, especially those that are hard to learn and hard to teach, are covered in this book. It will be a first port of call for research about teaching big ideas for students from 9-19 and also has implications for a wider range of students. These are the ideas that really matter, that students get stuck on, and that can be obstacles to future learning. It shows how students learn, why they sometimes get things wrong, and the strengths and pitfalls of various teaching approaches. Contemporary high-profile topics like modelling are included. The authors are experienced teachers, researchers and mathematics educators, and many teachers and researchers have been involved in the thinking behind this book, funded by the Nuffield Foundation. An associated website, hosted by the Nuffield Foundation, summarises the key messages in the book and connects them to examples of classroom tasks that address important learning issues about particular mathematical ideas.

Neural Symbolic Cognitive Reasoning

Filename: neural-symbolic-cognitive-reasoning.pdf
ISBN: 9783540732457
Release Date: 2009
Number of pages: 197
Author: Artur S. D'Avila Garcez
Publisher: Springer Science & Business Media

Download and read online Neural Symbolic Cognitive Reasoning in PDF and EPUB This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.

Real World Reasoning Toward Scalable Uncertain Spatiotemporal Contextual and Causal Inference

Filename: real-world-reasoning-toward-scalable-uncertain-spatiotemporal-contextual-and-causal-inference.pdf
ISBN: 9789491216114
Release Date: 2011-12-02
Number of pages: 269
Author: Ben Goertzel
Publisher: Springer Science & Business Media

Download and read online Real World Reasoning Toward Scalable Uncertain Spatiotemporal Contextual and Causal Inference in PDF and EPUB The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.

Persuasion und Wissenschaft

Filename: persuasion-und-wissenschaft.pdf
ISBN: 3825895785
Release Date: 2007
Number of pages: 338
Author: Günther Kreuzbauer
Publisher: LIT Verlag Münster

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Logical and Relational Learning

Filename: logical-and-relational-learning.pdf
ISBN: 9783540688563
Release Date: 2008-09-27
Number of pages: 387
Author: Luc De Raedt
Publisher: Springer Science & Business Media

Download and read online Logical and Relational Learning in PDF and EPUB This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Discourse Interaction and Communication

Filename: discourse-interaction-and-communication.pdf
ISBN: 0792349520
Release Date: 1998-02-28
Number of pages: 187
Author: Xabier Arrazola
Publisher: Springer Science & Business Media

Download and read online Discourse Interaction and Communication in PDF and EPUB The papers in this volume represent leading-edge work by well-known scholars on the topics mentioned in the title: discourse, interaction, and communication. They report work done from widely divergent points on the theoretical spectrum of cognitive science, and from different disciplinary starting points (philosophy, logic, linguistics, artificial intelligence). Not only do these works faithfully represent the main topics and the wide range of differing positions presented at the Fourth International Colloquium on Cognitive Science (ICCS-95), but despite their differences (or perhaps because of these differences) they also display many clear directions for future research in these three central areas of cognitive science. This book is essential reading for all researchers in cognitive science.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Filename: symbolic-and-quantitative-approaches-to-reasoning-with-uncertainty.pdf
ISBN: 9783540424642
Release Date: 2001-08-29
Number of pages: 818
Author: Salem Benferhat
Publisher: Springer Science & Business Media

Download and read online Symbolic and Quantitative Approaches to Reasoning with Uncertainty in PDF and EPUB This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.