基于自我意识的智能模型描述语言  被引量:2

The Language for Describing Agent-Object-Relationship Model Based on Consciousness-Only

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作  者:职敏 罗钧旻[1] 高武奇[1] ZHI Min;LUO Jun-min;Gao Wu-qi(College of Computer Science and Engineering,Xi’an Technological University 1,Xi’an 710021,China)

机构地区:[1]西安工业大学计算机科学与工程学院,西安710021

出  处:《科学技术与工程》2018年第31期184-189,共6页Science Technology and Engineering

基  金:陕西省科技厅项目(2017GY-070);陕西省教育厅专项科研计划(17JK0377);西安工业大学校长基金(XAGDXJJ14015);新型网络与检测控制国家地方联合工程实验室基金(GSYSJ2016011)资助

摘  要:为使智能模型更加符合人类智能机制,本文通过研究智能的自我意识性、互表性、模糊性和动态性四大特性对基于自我意识的智能模型(agent-object-relationship model based on consciousness-only,AORBCO)进行了改进,并设计了AORBCO模型的描述语言。改进后的AORBCO模型以agent的信念、能力、愿望、规划和行为控制机制五大组成为核心来刻画智能的自我意识性,以实体——包括agent的熟人主体和它所认知的客体及其组成部分为出发点来刻画智能的互相表示性,并通过表示实体间关系紧密程度的权值的引入与更新来模拟智能的模糊性,agent的行为控制机制使智能的动态性得以实现。AORBCO描述语言以XML为基础,通过相关标记的定义使得资源的表达形式和表达内容相统一,便于人和计算机理解语言成分的语义。In order to make the intelligent model more in line with the human intelligence mechanism,the AORBCO model(agent-object-relationship model Based on consciousness-only)was improved by studying the four characteristics of intelligent self-awareness,mutual representation,fuzziness and dynamics.,and designed the 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 and its components are designed 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.

关 键 词:AORBCO 智能模型 主体 自我意识性 描述语言 

分 类 号:TP391.3[自动化与计算机技术—计算机应用技术]

 

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