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An AI Embedded Object-Oriented Approach for Formulating Computable General Equilibrium
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作者 Li Tong (Department of Automatic Control Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China) Chen Shuheng (Department of Economics, National Chengchi University, Taipei, 11623) Feng Shan (Department of Automatic Control 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2000年第1期14-21,共8页
This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedd... This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedded AI or namely agents in computer world, corresponding to economic agents and entities in real world, such as government, households, markets and so on. A frame representation of major objects in CGE model is used for trade and environment. Embedded Al object-oriented approach (or software agent) is used in the CGE model representation can able to narrow the gap among the semantic representation, formal CGE (mathematical) representation and computer and algorithm representation, and to improve CGE in understanding and maintenance etc. In such a system, constructing a CGE model to appear an intuitive process rather than an abstract process. This intuitive process needs more understanding of the substance of economics and the logic underlying the problem rather than mathematical notation. 展开更多
关键词 Computable general equilibrium artificial intelligence Object-oriented method Agents.
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The Theory of Adaptation of the Nervous System
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作者 Cai YifaSchool of Information Systems, Kingston University, Surrey KT12EE, U.K. 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1992年第2期1-12,共12页
The explanation and simulation of the natural and artificial intelligence are the central goals of the studies of Neuroscience, Psychology, Artificial Intelligence and Cognitive Science. This paper first gives an intr... The explanation and simulation of the natural and artificial intelligence are the central goals of the studies of Neuroscience, Psychology, Artificial Intelligence and Cognitive Science. This paper first gives an introduction to the core topics and approaches in the study. Then, GAF--a general adaptive framework for neural system is proposed. Interdisciplinary discussions around the adaptation of the human nervous system are presented. Rules describing the theory of adaptation of the nervous system are provided. 展开更多
关键词 Nervous system artificial intelligence general adaptive framework.
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