Frontiers of Artificial Intelligence
Authors: Jerry Kaplan
<p>What are the main areas of research and development in AI?</p>
<p>Work in artificial intelligence is generally divided into a number of subfields that address common, though difficult, practical problems or require different tools or skills. Some of the more prominent are robotics, computer...</p>
π
Published: 2016-11-24
π Source: CrossRef
π Citations: 1
Defining Artificial Intelligence
Authors: Jerry Kaplan
<p>What is artificial intelligence?</p>
<p>Thatβs an easy question to ask and a hard one to answerβfor two reasons. First, thereβs little agreement about what intelligence is. Second, thereβs scant reason to believe that machine intelligence bears much relationship to human intelligence, at least so...</p>
π
Published: 2016-11-24
π Source: CrossRef
π Citations: 10
Modeling Belief in Dynamic Systems, Part II: Revision and Update
Authors: N Friedman, J. Y. Halpern
The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper (Friedman & Halpern, 1997), we introduce a new framework to model belief change. This framework combines temporal and epistemic modalities with a notion of plausibility, allowing us to exami...
Probability Judgement in Artificial Intelligence
Authors: Glenn Shafer
This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples and discusses some of the issues that arise when we try to implement them in expert systems. The Bayesian theory is well known; its main ideas go back to the work of Thomas Bayes (1702-1761). The theory of belief function...
Artificial intelligence: a modern approach
Authors: Stuart Russell, Peter Norvig
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical ...