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Titlebook: Advances in Artificial Intelligence; 14th Brazilian Sympo Flávio Moreira Oliveira Conference proceedings 1998 Springer-Verlag Berlin Heidel

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期刊全称Advances in Artificial Intelligence
期刊简称14th Brazilian Sympo
影响因子2023Flávio Moreira Oliveira
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Artificial Intelligence; 14th Brazilian Sympo Flávio Moreira Oliveira Conference proceedings 1998 Springer-Verlag Berlin Heidel
影响因子The Brazilian Symposium on Artificial Intelligence (SBIA) has been organized by the Interest Group on Artificial Intelligence of the Brazilian Computer Society (SBC) since 1984. In order to promote research in Artificial Intelligence and scientific interaction among Brazilian AI researchers and practitioners, and with their counterparts worldwide, it is being organized as an international forum since 1993. The SBIA proceedings have been published by Springer-Verlag as a part of the Lecture Notes in Artificial Intelligence (LNAI) series since 1995. The XIVth SBIA, held in 1998 at the PUCRS Campus in Porto Alegre, has maintained the international tradition and standards previously established: 61 papers were submitted and reviewed by an international program committee, from this number, 26 papers were accepted and are included in this volume. Of course, organizing an event such as SBIA demands a lot of group effort. We would like to thank and congratulate all the program committee members, and the many reviewers, for their work in reviewing and commenting on the submitted papers. We would also like to thank the Pontifical Catholic University of Rio Grande do Sul, host of the XIV SBIA
Pindex Conference proceedings 1998
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https://doi.org/10.1007/978-3-319-25372-5of .. In order to accomplish this task, we first present a rather informal definition of organization and roles, showing how this additional dimension can be represented within a 3-layered architecture of mental states. We then restrict our analysis to the domain level, by extending our original not
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On Transcellular Ionic Currentsstions related to why and how adopt this approach are addressed. We begin presenting and emphasizing the definition of both a view of the domain knowledge structure and a model for it. Then, we show the consequences of this toward the definition of a multi-agent system, leading to a complete learnin
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