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Research on AORBCO Model and It’s Description Language
Author(s) -
Zhi Min,
Junming Luo,
Wuqi Gao
Publication year - 2018
Publication title -
international journal of advanced network, monitoring, and controls
Language(s) - English
Resource type - Journals
ISSN - 2470-8038
DOI - 10.21307/ijanmc-2018-018
Subject(s) - computer science , realization (probability) , representation (politics) , xml , mechanism (biology) , semantics (computer science) , expression (computer science) , point (geometry) , artificial intelligence , control (management) , fuzzy logic , natural language processing , programming language , world wide web , mathematics , philosophy , statistics , geometry , epistemology , politics , political science , law
This paper improves the AORBCO model based on the four characteristics of intelligence-self conscious, mutual representation, fuzziness and dynamics, and designs a description language of AORBCO model. The language describes the self-consciousness of an agent with its’ five components-belief, desire, ability, planning and behavior control mechanism. The components of entities including acquaintances of an agent and objects known by the agent are as the starting point to characterize the mutual representation of intelligence. Introducing and updating of the weights to express the closely degree of relationship among entities are to simulate the fuzzy of intelligence. The behavior control mechanism of the agent makes the intelligent dynamics realization. The AORBCO description language based on XML makes the expression form and content of the resources unify through the definition of correlative marks, which is convenient for people and computers to understand the semantics of language components. The essence of space and time is also revealed in this paper.

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