On modeling and controlling intelligent systems

Conference · Mon Nov 01 04:00:00 EST 1993

OSTI ID:10193199

Dress, W B

The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

• Research Organization: Oak Ridge National Lab., TN (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 10193199
• Report Number(s): CONF-9311112--1; ON: DE94002446
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990200
990300
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTERIZED SIMULATION
DATA BASE MANAGEMENT
FUZZY LOGIC
INFORMATION HANDLING
INFORMATION SYSTEMS
MATHEMATICAL MODELS
MATHEMATICS AND COMPUTERS
NEURAL NETWORKS
PATTERN RECOGNITION
SIGNAL CONDITIONING