Advances in Artificial Intelligence

1. Front Matter

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2. Multi-agent Systems

   1. On Personal and Role Mental Attitudes: A Preliminary Dependence-Based Analysis

      • Jaime Simão Sichman, Rosaria Conte

      Pages 1-10

   2. An Autonomous Agent Architecture and the Locomotion Problem

      • Claudio Cesar de Sá, Guilherme Bittencourt, Nizam Omar

      Pages 11-20

   3. Building Object-Agents from a Software Meta-Architecture

      • Analía Amandí, Ana Price

      Pages 21-30

   4. Agent’s Programming from a Mental States Framework

      • Milton Corrêa, Helder Coelho

      Pages 31-39

3. Intelligent Tutoring Systems

   1. The Component Based Model of the Control Knowledge in an Intelligent Tutoring Shell

      • Ljubomir Jerinic, Vladan Devedzic, Danijela Radovic

      Pages 40-49

   2. Modelling the MCOE Tutor Using a Computational Model

      • Lúcia M. M. Giraffa, Michael da C. Móra, Rosa M. Viccari

      Pages 50-60

   3. From a Tridimensional View of Domain Knowledge to Multi-agent Tutoring System

      • Evandro de Barros Costa, Angelo Perkusich, Edilson Ferneda

      Pages 61-72

4. Natural Language

   1. A Transfer Dictionary for Words and Bigrams

      • Jorge Kinoshita

      Pages 73-82

   2. Integrating Morphological, Syntactical and Semantical Aspects through Multi-agent Cooperation

      • João L. T. da Silva, Paulo R. C. Abrahão, Vera L. S. de Lima

      Pages 83-92

   3. A Massively Parallel Architecture for Natural Language Parsing – Some Results

      • Raul Sidnei Wazlawick, José Gabriel Pereira Lopes

      Pages 93-100

5. Machine Learning and Neural Networks

   1. Planning and Learning: Put the User in the Loop

      • José Luís Ferreira, Ernesto Jorge Costa

      Pages 101-110

   2. Redundant Covering with Global Evaluation in the RC1 Inductive Learner

      • Alneu de Andrade Lopes, Pavel Brazdil

      Pages 111-120

   3. Towards Integrating Hierarchical Censored Production Rule(HCPR) Based Systems and Neural Networks

      • Kamal Kant Bharadwaj, Jose Demisio Simoes da Silva

      Pages 121-130

   4. Goal-Directed Reinforcement Learning Using Variable Learning Rate

      • Arthur P. de S. Braga, Aluizio F. R. Araújo

      Pages 131-140

6. Logic Programming

   1. On the Relations between Acceptable Programs and Stratifiable Classes

      • F. Protti, G. Zaverucha

      Pages 141-150

   2. An Adaptation of Dynamic Slicing Techniques for Logic Programming

      • Wamberto Weber Vasconcelos, Marcelo A. T. Aragão

      Pages 151-160

   3. Argumentative and Cooperative Multi-agent System for Extended Logic Programming

      • Iara de Almeida Móra, José Júlio Alferes

      Pages 161-170

7. Knowledge Representation

   1. Modelling Credulity and Skepticism through Plausibility Measures

      • Berilhes Borges Garcia, José Gabriel Pereira Lopes, Paulo Quaresma

      Pages 171-180

   2. Fuzzy Temporal Categorical and Intensity Information in Diagnosis

      • Jacques Wainer, Sandra Sandri

      Pages 181-190

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, and the institutions which sponsored it - CNPq, CAPES, BANRISUL, among others. Last but not least, we want to thank all the kind people of the Local Organizing Committee, whose work made the event possible.

• Agent Technology
• Fuzzy
• Intelligent Tutoring Systems
• Knowledge Representation
• Machine Learning
• Natural Language Processing
• artificial intelligence
• autonom
• knowledge
• learning
• modeling
• multi-agent system
• natural language
• reinforcement learning
• robot

• Instituto de Informática - PUCRS, Porto Alegre, Brazil

  Flávio Moreira Oliveira

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