{"title":"将计划作为战术推理来实施","authors":"Luca Spalazzi, Alessandro Cimatti, P. Traverso","doi":"10.1109/AIHAS.1992.636866","DOIUrl":null,"url":null,"abstract":"I n this p a p e r we present a system (called MRG) for the development of planners that have t o work i n real-world, complex and unpredictable application domains. The i d e a underlying MRG is that domain independent problem solving architectures, instead o f featuring powerful but fixed control mechanisms, should provide powerful and flexible tools for the definition of domain dependent control mechanisms. Complex strategies and control mechanisms are uniformly represented an MRG b y tactics, explicit data structures that can be reused, modified, reasoned about and executed. A t the m o ment, MRG is being successfully used within a c o m plex real world application under development at IRS T.","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":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Implementing Planning As Tactical Reasoning\",\"authors\":\"Luca Spalazzi, Alessandro Cimatti, P. Traverso\",\"doi\":\"10.1109/AIHAS.1992.636866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"I n this p a p e r we present a system (called MRG) for the development of planners that have t o work i n real-world, complex and unpredictable application domains. The i d e a underlying MRG is that domain independent problem solving architectures, instead o f featuring powerful but fixed control mechanisms, should provide powerful and flexible tools for the definition of domain dependent control mechanisms. Complex strategies and control mechanisms are uniformly represented an MRG b y tactics, explicit data structures that can be reused, modified, reasoned about and executed. A t the m o ment, MRG is being successfully used within a c o m plex real world application under development at IRS T.\",\"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\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"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.1992.636866\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.1992.636866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
I n this p a p e r we present a system (called MRG) for the development of planners that have t o work i n real-world, complex and unpredictable application domains. The i d e a underlying MRG is that domain independent problem solving architectures, instead o f featuring powerful but fixed control mechanisms, should provide powerful and flexible tools for the definition of domain dependent control mechanisms. Complex strategies and control mechanisms are uniformly represented an MRG b y tactics, explicit data structures that can be reused, modified, reasoned about and executed. A t the m o ment, MRG is being successfully used within a c o m plex real world application under development at IRS T.