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Building Expert Systems

TLDR
This book provides a broad introduction to the concepts and methods necessary for an understanding of how these systems work.
Abstract
Reading,Mass.: Addison-Wesley Pub., 1983. 1: include bibliography: p. 405-420 -- (Teknowledge Series in Knowledge Engineering. Hayes-Roth, Frederick, series editor). This book is a collaboration of 38 expert system researchers and developers. It provides a broad introduction to the concepts and methods necessary for an understanding of how these systems work

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Journal ArticleDOI

Knowledge engineering: principles and methods

TL;DR: The paradigm shift from a transfer view to a modeling view is discussed and two approaches which considerably shaped research in Knowledge Engineering are described: Role-limiting Methods and Generic Tasks.
Journal ArticleDOI

Modeling and simulation of genetic regulatory systems: a literature review.

TL;DR: This paper reviews formalisms that have been employed in mathematical biology and bioinformatics to describe genetic regulatory systems, in particular directed graphs, Bayesian networks, Boolean networks and their generalizations, ordinary and partial differential equations, qualitative differential equation, stochastic equations, and so on.
Book

Soar: an architecture for general intelligence

TL;DR: SOAR, an implemented proposal for a foundation for a system capable of general intelligent behavior, is presented and its organizational principles, the system as currently implemented, and demonstrations of its capabilities are described.
Journal ArticleDOI

SOAR: an architecture for general intelligence

TL;DR: SOAR as discussed by the authors is an implemented proposal for such an architecture, which is described in detail in the paper "SOAR: An Implementation of Cognitive Architecture for Artificial Intelligence" and demonstrated in the SOAR project.
Book

Simulation for the Social Scientist

TL;DR: Social scientists in a wide range of fields will find this book an essential tool for research, particularly in sociology, economics, anthropology, geography, organizational theory, political science, social policy, cognitive psychology and cognitive science, and it will also appeal to computer scientists interested in distributed artificial intelligence, multi-agent systems and agent technologies.