{"title":"Recursive data models for non-conventional database applications","authors":"W. Lamersdorf","doi":"10.1109/ICDE.1984.7271266","DOIUrl":"https://doi.org/10.1109/ICDE.1984.7271266","url":null,"abstract":"Database models provide concepts and tools to establish data-based models of complex real-world applications. The currently prevalent set-oriented and record-based data models provide powerful and quite adequate structural tools for modelling formatted data objects in data intensive applications. Limitations of traditional database models become obvious, however, when modelling such advanced ‘non-conventional’ database applications as in CAD/CAM, computer graphics, or information retrieval which require management of large sets of variously structured data objects (e.g., part representations, drawings, or texts). For a more adequate representation of such ‘complex’ data objects, generalized ‘RECURSIVE DATA MODELS’ are proposed. They allow for the definition and manipulation of objects of not necessarily the same structure, but only a similar structuring concept. This work integrates experiences from the areas of programming languages and classical data(base) models.","PeriodicalId":365511,"journal":{"name":"1984 IEEE First International Conference on Data Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1984-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123526617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Issues in distributed artificial intelligence","authors":"Bonnie McDaniel","doi":"10.1109/ICDE.1984.7271285","DOIUrl":"https://doi.org/10.1109/ICDE.1984.7271285","url":null,"abstract":"This paper addresses some of the issues involved in fomalizing AI concepts to deal with several artificially intelligent agents cooperating to achieve a system-wide goal. The suggestion is made that the approaches used to construct AI systems which are operating autonomously in a single domain environment are not necessarily the same approaches that should be considered in building a set of intelligent agents that are physically or logically separated and are trying to achieve a common global goal through the use of individual subgoals and subplans. Issues addressed concern the difficulties of formulating temporal relationships, difficulties of interfacing conflicting or concordant goals, and communication between subplans. A simple distributed problem is also presented.","PeriodicalId":365511,"journal":{"name":"1984 IEEE First International Conference on Data Engineering","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1984-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129902006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}