{"title":"基于知识的组织模拟:动态环境下代理人的行为","authors":"S. Unseld","doi":"10.1145/65774.65776","DOIUrl":null,"url":null,"abstract":"MOMo's general purpose \"playground\" enables the user to test and study the behavior of AI-models (intelligent agents) in a knowledge based simulation environment. Agents and environment form an interacting system: During discrete, event-driven simulation the agents act according to \"prototypical images\" that reflect their perception of the environment. The actions carried out by the agent are inputs to the environment, causing its state to change. The state of the environment, in turn, defines what the agent may act upon.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Knowledge based simulation of an organization: an agent's behavior in a dynamic environment\",\"authors\":\"S. Unseld\",\"doi\":\"10.1145/65774.65776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MOMo's general purpose \\\"playground\\\" enables the user to test and study the behavior of AI-models (intelligent agents) in a knowledge based simulation environment. Agents and environment form an interacting system: During discrete, event-driven simulation the agents act according to \\\"prototypical images\\\" that reflect their perception of the environment. The actions carried out by the agent are inputs to the environment, causing its state to change. The state of the environment, in turn, defines what the agent may act upon.\",\"PeriodicalId\":138785,\"journal\":{\"name\":\"ACM Sigsim Simulation Digest\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigsim Simulation Digest\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/65774.65776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsim Simulation Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/65774.65776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge based simulation of an organization: an agent's behavior in a dynamic environment
MOMo's general purpose "playground" enables the user to test and study the behavior of AI-models (intelligent agents) in a knowledge based simulation environment. Agents and environment form an interacting system: During discrete, event-driven simulation the agents act according to "prototypical images" that reflect their perception of the environment. The actions carried out by the agent are inputs to the environment, causing its state to change. The state of the environment, in turn, defines what the agent may act upon.
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