1985
DOI: 10.1177/003754978504400603
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Expert systems and simulation

Abstract: Artificial intelligence and expert systems are the latest buzzwords and the hottest topics in the scientific community today Some experts are proclaiming that artificial intelligence (AI) has already emerged as one of the most significant technologies of this cen tury. Proponents are declaring that it will completely revolu tionize management and the way computers are used. If these claims are even half true, then AI is bound to have a profound effect upon the art and science of simulation. This paper will pro… Show more

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Cited by 133 publications
(18 citation statements)
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“…Hence, ABM is a specific type of modelling, where the real world system that is modelled consists of (one or multiple) autonomous entities (e.g., human beings, animals, or intelligent artefacts). According to Shannon (1975), a model is a representation of an object, system or idea other than that of the entity itself. In a model the most important concepts of the relevant real world system are described, as well as the relationships between them.…”
Section: Agent-based Modellingmentioning
confidence: 99%
“…Hence, ABM is a specific type of modelling, where the real world system that is modelled consists of (one or multiple) autonomous entities (e.g., human beings, animals, or intelligent artefacts). According to Shannon (1975), a model is a representation of an object, system or idea other than that of the entity itself. In a model the most important concepts of the relevant real world system are described, as well as the relationships between them.…”
Section: Agent-based Modellingmentioning
confidence: 99%
“…The Simulation generator consists of two components, the simulation software part and the expert system , with a possible definition for expert systems according to BG Buchanan as "An expert system is: A knowledge-based system that contains expert knowledge rather than general knowledge. It is a problem solving program that solves Figure 2 The Software Lifecycle substantial problems generally conceded as being difficult and requiring expertise": Expert systems are usually concerned with tasks that are normally performed by specially trained people [1,4]. There are in general three components to an expert system, the knowledge base, production rules and inference engine, with the knowledge base containing the expert knowledge needed for problem solving or decision support (Figure 1).…”
Section: The Simulation Generator Componentsmentioning
confidence: 99%
“…These and other features of LISP make this AI language the ideal environment for the type of simulation programs considered here. In a more general context, Shannon et al (1985), and Moser (1986) discuss the potential and impact of AI in simulation.…”
Section: Programming Language and Colour Animationmentioning
confidence: 99%