B. Gorayska, R. Lindsay, K.R. Cox, J. Marsh, N. Tse
{"title":"Relevance-Derived Metafunction: How to Interface Intelligent System's Sub-Components","authors":"B. Gorayska, R. Lindsay, K.R. Cox, J. Marsh, N. Tse","doi":"10.1109/AIHAS.1992.636864","DOIUrl":null,"url":null,"abstract":"This paper introduces a relevance-derived metafunction capable of inducing smooth integration between Goals, Plans, plan Elements, Agents, and world Models. It provides the top level architecture of an intelligent system that utilises the metajkction, and describes a prototype: GEPAM (Goals. Elements, Plans, Agents, Models) , which implements some of its aspects. The advantages of capturing the notion of relevance in process oriented terms for the purpose of integrating an intelligent system’s sub-components are discussed and directions for future research and development are indicated.","PeriodicalId":442147,"journal":{"name":"Proceedings of the Third Annual Conference of AI, Simulation, and Planning in High Autonomy Systems 'Integrating Perception, Planning and Action'.","volume":"498 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third Annual Conference of AI, Simulation, and Planning in High Autonomy Systems 'Integrating Perception, Planning and Action'.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIHAS.1992.636864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces a relevance-derived metafunction capable of inducing smooth integration between Goals, Plans, plan Elements, Agents, and world Models. It provides the top level architecture of an intelligent system that utilises the metajkction, and describes a prototype: GEPAM (Goals. Elements, Plans, Agents, Models) , which implements some of its aspects. The advantages of capturing the notion of relevance in process oriented terms for the purpose of integrating an intelligent system’s sub-components are discussed and directions for future research and development are indicated.