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Advances in Artificial Intelligence SBIA 2004 17th Edition by Ana Bazzan, Sofiane Labidi 3540232370 9783540232377

Name: Advances in Artificial Intelligence SBIA 2004 17th Edition by Ana Bazzan, Sofiane Labidi 3540232370 9783540232377
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Authors:Ana L. C. Bazzan, Sofiane Labidi , Series:Artificial Intelligence [92] , Author sort:Ana L. C. Bazzan, Sofiane Labidi , Languages:Languages:eng , Publisher:Springer

SKU: EB-19498 Category: eBook PDF Tags: Advances, Ana Bazzan, Intelligence, Sofiane Labidi

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Product details:

ISBN 10: 3540232370

ISBN 13: 9783540232377

Author: Ana L. C. Bazzan, Sofiane Labidi

SBIA, the Brazilian Symposium on Arti?cial Intelligence, is a biennial event intended to be the main forum of the AI community in Brazil. The SBIA 2004 was the 17th issue of the series initiated in 1984. Since 1995 SBIA has been accepting papers written and presented only in English, attracting researchers from all over the world. At that time it also started to have an international program committee, keynote invited speakers, and proceedings published in the Lecture Notes in Arti?cial Intelligence (LNAI) series of Springer (SBIA 1995, Vol. 991, SBIA 1996, Vol. 1159, SBIA 1998, Vol. 1515, SBIA 2000, Vol. 1952, SBIA 2002, Vol. 2507). SBIA 2004 was sponsored by the Brazilian Computer Society (SBC). It was held from September 29 to October 1 in the city of S˜ ao Luis, in the northeast of Brazil, together with the Brazilian Symposium on Neural Networks (SBRN). This followed a trend of joining the AI and ANN communities to make the joint event a very exciting one. In particular, in 2004 these two events were also held togetherwiththeIEEEInternationalWorkshoponMachineLearningandSignal Processing (MMLP), formerly NNLP. The organizationalstructure of SBIA 2004was similar to other international scienti?cconferences.Thebackboneofthe conferencewasthe technicalprogram whichwascomplementedbyinvitedtalks,workshops,etc.onthemainAItopics.

Advances in Artificial Intelligence SBIA 2004 17th Table of contents:

Logics, Planning, and Theoretical Methods

Modalities for Vague Notions

Polynomial Approximations of Full Propositional Logic

Using Relevance to Speed Up Inference

Non-explosive Treatment of Functional Dependencies Using Rewriting Logic

Reasoning About Requirements Evolution with Clustered Belief Revision

Analyzing AI Planning Problems in Linear Logic: A Partial Deduction Approach

Planning with Abduction: A Logical Framework to Explore Extensions to Classical Planning

High-Level Robot Programming: An Abductive Approach Using Event Calculus

Search, Reasoning, and Uncertainty

Word Equation Systems: The Heuristic Approach

Cooperative Framework Based on Local Search and Constraint Programming for Discrete Global Optimization

Machine Learned Heuristics for Improving Constraint Satisfaction

Towards a Natural Way of Reasoning

Plausible Reasoning as an Alternative for Inductive-Statistical Reasoning

Paraconsistent Sensitivity Analysis for Bayesian Significance Tests

Knowledge Representation and Ontologies

Ontology for Quantities in Ecology

Using Color in Interactive Concept Formation

Propositional Reasoning for an Embodied Cognitive Model

Unified Architecture for Interactive Knowledge-Based Systems

Natural Language Processing

Evaluation of Methods for Sentence and Lexical Alignment in Portuguese-English Texts

Lexical Similarity Measures in Portuguese Term Collections

Dialogue with a Personal Assistant

Argumentative Zoning in an Automatic Critiquer for Academic Writing

DiZer: Automatic Discourse Analyzer for Brazilian Portuguese

Comparison of Automatic Summarizers in Brazilian Portuguese

Machine Learning, Knowledge Discovery, and Data Mining

Heuristically Accelerated Q-Learning for Speeding Up Reinforcement Learning

Using Concept Hierarchies in Knowledge Discovery

Clustering Method for Symbolic Interval-Type Data with Adaptive Chebyshev Distances

Efficient Clustering Method for High-Dimensional Data Mining

Learning with Drift Detection

Learning with Class Skews and Small Disjuncts

Collaborative Group Recommendations Based on Modal Symbolic Data

Search-Based Class Discretization for Hidden Markov Model Regression

SKDQL: Structured Language for Specifying Knowledge Discovery Processes and Queries

Evolutionary Computation, Artificial Life, and Hybrid Systems

Symbolic Communication in Artificial Creatures: Experiment in Artificial Life

What Makes a Successful Society?

Splinter: A Framework for Evolving Modular Finite State Machines

Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs

Dynamic Allocation of Data-Objects in the Web Using Self-tuning Genetic Algorithms

Detecting Promising Areas via Evolutionary Clustering Search

Fractal Fuzzy Approach to Clustering Tendency Analysis

Stopping Criteria for Genetic Algorithms

Impact of Reasoning Methods on Genetic Learning and Fuzzy Rule Optimization

Using Rough Sets and Minimum Description Length Principle to Improve Fuzzy Revision Methods for CBR Systems

Robotics and Computer Vision

Forgetting and Fatigue in Mobile Robot Navigation

Texture Classification Using Lempel-Ziv-Welch Algorithm

Clustering-Based Possibilistic Method for Image Classification

Handshape Sign Recognition Using Adaptive Technology: Preliminary Results

Autonomous Agents and Multi-agent Systems

Recent Advances in Multi-agent Patrolling

Convergence to and Location of Attractors in Uncertain Dynamic Games

Norm Consistency in Electronic Institutions

Using oise +? for a Cooperative Framework of MAS Reorganization

Paraconsistent Approach for Offer Evaluation in Negotiations

Sequential Bilateral Negotiation

Identifying Similarity for Improving Agent Negotiations

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