{"title":"FMAP的扩展，用于联合行动","authors":"A. Nath, R. Niyogi","doi":"10.1109/IC3.2015.7346731","DOIUrl":null,"url":null,"abstract":"Although there has been a lot of work in multi-agent planning, very few state-of-the-art multi-agent planners exist; a notable exception being FMAP. In multi agent planning joint actions frequently arise. Although FMAP is quite powerful, it cannot handle a type of joint actions. In this paper, we show how FMAP can be tuned to handle such joint actions. The proposed system has been validated with a benchmark domain.","PeriodicalId":217950,"journal":{"name":"2015 Eighth International Conference on Contemporary Computing (IC3)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An extension of FMAP for joint actions\",\"authors\":\"A. Nath, R. Niyogi\",\"doi\":\"10.1109/IC3.2015.7346731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there has been a lot of work in multi-agent planning, very few state-of-the-art multi-agent planners exist; a notable exception being FMAP. In multi agent planning joint actions frequently arise. Although FMAP is quite powerful, it cannot handle a type of joint actions. In this paper, we show how FMAP can be tuned to handle such joint actions. The proposed system has been validated with a benchmark domain.\",\"PeriodicalId\":217950,\"journal\":{\"name\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Eighth International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2015.7346731\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2015.7346731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Although there has been a lot of work in multi-agent planning, very few state-of-the-art multi-agent planners exist; a notable exception being FMAP. In multi agent planning joint actions frequently arise. Although FMAP is quite powerful, it cannot handle a type of joint actions. In this paper, we show how FMAP can be tuned to handle such joint actions. The proposed system has been validated with a benchmark domain.
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