Progress in Artificial Intelligence — IBERAMIA 98

1. Front Matter

   Pages I-XIV

   PDF

2. Invited Lectures

   1. Modelling Intelligent Behaviour: The Markov Decision Process Approach

      • Héctor Geffner

      Pages 1-12

   2. Emergence and Cognition: Towards a Synthetic Paradigm in AI and Cognitive Science

      • Cristiano Castelfranchi

      Pages 13-26

   3. The “Semantics” of Evolution: Trajectories and Trade-Offs in Design Space and Niche Space

      • Aaron Sloman

      Pages 27-39

   4. Searching the World Wide Web: Challenges and Partial Solutions

      • Ricardo A. Baeza-Yates

      Pages 39-51

3. Distributed Artificial Intelligence

   1. Groups and Societies: One and the Same Thing?

      • Eduardo Alonso

      Pages 52-63

   2. From Mental States and Architectures to Agents’ Programming

      • Milton Corrêa, Helder Coelho

      Pages 64-75

   3. Genetic Integration in a Multiagent System for Job-Shop Scheduling

      • Thierry Galinho, Alain Cardon, Jean-Philippe Vacher

      Pages 76-87

   4. A New Dynamic Model for a Multi-Agent Formation

      • Daniel Gonçalves, Pedro Machado, Ana Paiva

      Pages 88-100

   5. A Case of Multiagent Decision Support: Using Autonomous Agents for Urban Traffic Control

      • Sascha Ossowski, José Cuena, Ana García-Serrano

      Pages 100-111

4. Machine Learning

   1. Lazy Learning Algorithms for Problems with Many Binary Features and Classes

      • Werner Winiwarter

      Pages 112-124

   2. GD: A Measure Based on Information Theory for Attribute Selection

      • Javier Lorenzo, Mario Hernández, Juan Méndez

      Pages 124-135

   3. Robust Incremental Clustering with Bad Instance Orderings: A New Strategy

      • Josep Roure, Luis Talavera

      Pages 136-147

   4. Distributed Reinforcement Learning in Multi-agent Decision Systems

      • J. Ignacio Giráldez, Daniel Borrajo

      Pages 148-159

   5. Dynamic Discretization of Continuous Attributes

      • João Gama, Luis Torgo, Carlos Soares

      Pages 160-169

   6. Intelligent Collaborative Information Retrieval

      • Joaquin Delgado, Naohiro Ishii, Tomoki Ura

      Pages 170-182

5. Reasoning

   1. Analysis of Agent Programs Using Action Models

      • José M. Ramírez

      Pages 183-194

   2. Bayesian Networks for Reliability Analysis of Complex Systems

      • José Gerardo Torres-Toledano, Luis Enrique Sucar

      Pages 195-206

   3. Temporal Representation and Reasoning for Dynamic Environments

      • Eva Onaindia, Miguel Rebollo

      Pages 207-218

   4. Heuristics for Improving the Non-oblivious Local Search for MaxSAT

      • G. De Ita, D. E. Pinto, M. Nuño

      Pages 219-229

When in October 1996 in Cholula (Puebla, Mexico), I took charge of organizing the scienti?c program of the next Ibero-American Congress on Arti?cial Intel- gence (IBERAMIA 98) I bet on a couple of ideas. First, I adopted the spirit of the Portuguese adventurers to get the Sixth Congress on a truly international track. In order to attain this aim I needed to convince everybody that the Ibero- American AI community had improved over the years and attained a very good level in what concerns individuals. Second, I brought my colleagues beside me so that we were able to collect su?cient excellent papers without destroying the pioneering spirit of those who ?rst inaugurated the Congress. Getting together to ?nd out what is in progress in the vast region in which Latin languages (P- tuguese and Spanish) are spoken, attracting others to exchange ideas with us, and by doing this advancing AI in general, is a risky untertaking. This book is the result, and it sets a new standard to be discussed by all of us. IBERAMIA was established in 1988 (Barcelona) by three Ibero-American AI Associations (AEPIA from Spain, SMIA from Mexico, and APPIA from Por- gal), after a ?rst meeting in Morelia (Mexico) in 1986 of SMIA and AEPIA.

• artificial intelligence
• genetic algorithms
• intelligence
• intelligent tutoring systems
• knowledge
• knowledge engineering
• learning
• machine learning
• natural language
• natural language processing

• Dep. Informática, Fac. Ciências de Lisboa, Lisboa, Portugal

  Helder Coelho

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