Download Free Ijcai 93 Book in PDF and EPUB Free Download. You can read online Ijcai 93 and write the review.

IJCAI-93

International Joint Conferences on Artificial Intelligence

Published: 1993

Total Pages: 868


Get eBook

This volume reflects the state of the art in artificial intelligence in the Australasian region. It covers machine learning, knowledge acguisition, cognitive modelling, robots and vision, natural language, automated reasoning, knowledge-based systems, neural networks and genetic algorithms, distributed AI, etc.

IJCAI-97

International Joint Conferences on Artificial Intelligence

Published: 1997

Total Pages: 1720


Get eBook

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. Classical logic and probability theory are only partially adequate for this, and a variety of other formalisms have been developed, some of the most important being fuzzy methods, possibility theory, belief function theory, non monotonic logics and modal logics. The aim of this workshop was to contribute to the elucidation of similarities and differences between the formalisms mentioned above.
Fifty-five papers from the conference held in Kawasaki, Japan, March-April 1993, discuss such topics as system architecture, object-oriented design, transportation systems, real-time systems, flexible manufacturing, computer-supported cooperative work. No index. Annotation copyright Book News, Inc.
This book constitutes the refereed proceedings of the 7th International Conference on Logic for Programming and Automated Reasoning, LPAR 2000, held in Reunion Island, France in November 2000. The 26 revised full papers presented together with four invited contributions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on nonmonotonic reasoning, descriptive complexity, specification and automatic proof-assistants, theorem proving, verification, logic programming and constraint logic programming, nonclassical logics and the lambda calculus, logic and databases, program analysis, mu-calculus, planning and reasoning about actions.
Nonlinear Labor Market Dynamics discusses adjustment processes in labor markets. Contrary to linear-stochastic approaches this book is based on a non-linear deterministic framework. It is shown that even textbook-like-models of the labor market can generate long lasting adjustment processes, local instabilities, and chaotic movements, once nonlinear relationships and widely accepted adjustment rules are introduced. Thus, labor market dynamics may have an endogenous component that is governed by a nonlinear deterministic core. Of course, all results are tied to the particular models discussed in this book. Nevertheless, these models imply that by incorporating nonlinear relationships, one may arrive at an explanation of labor market behavior where linear stochastic approaches fell. Time series studies for German labor market data support this point of view.