Progress in Artificial Intelligence — IBERAMIA 98

6th Ibero-American Conference on AI, Lisbon, Portugal, October 5–9, 1998 Proceedings

Häftad, Engelska, 1998

Av Helder Coelho, Ibero-American Conference on Artificial, Helder Coelho

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This book constitutes the refereed proceedings of the 6th Ibero-American Conference on Artificial Intelligence, IBERAMIA-98, held in Lisbon, Portugal in October 1998.The book presents 32 revised full papers selected from more than 150 submissions. Also included are four invited survey papers. The papers are organized in topical sections on distributed artificial intelligence, machine learning, reasoning, vision, genetic algorithms, knowledge engineering, intelligent tutoring systems, natural language processing, neural nets, constraint programming, and planning.

Produktinformation

Utgivningsdatum1998-09-09
Mått155 x 235 x 24 mm
Vikt668 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor422
Upplaga1998
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540649922

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Artificiell intelligens inom Data och it

Invited Lectures.- Modelling Intelligent Behaviour: The Markov Decision Process Approach.- Emergence and Cognition: Towards a Synthetic Paradigm in AI and Cognitive Science.- The “Semantics” of Evolution: Trajectories and Trade-Offs in Design Space and Niche Space.- Searching the World Wide Web: Challenges and Partial Solutions.- Distributed Artificial Intelligence.- Groups and Societies: One and the Same Thing?.- From Mental States and Architectures to Agents’ Programming.- Genetic Integration in a Multiagent System for Job-Shop Scheduling.- A New Dynamic Model for a Multi-Agent Formation.- A Case of Multiagent Decision Support: Using Autonomous Agents for Urban Traffic Control.- Machine Learning.- Lazy Learning Algorithms for Problems with Many Binary Features and Classes.- GD: A Measure Based on Information Theory for Attribute Selection.- Robust Incremental Clustering with Bad Instance Orderings: A New Strategy.- Distributed Reinforcement Learning in Multi-agent Decision Systems.- Dynamic Discretization of Continuous Attributes.- Intelligent Collaborative Information Retrieval.- Reasoning.- Analysis of Agent Programs Using Action Models.- Bayesian Networks for Reliability Analysis of Complex Systems.- Temporal Representation and Reasoning for Dynamic Environments.- Heuristics for Improving the Non-oblivious Local Search for MaxSAT.- Integrating the Completion and the Well Founded Semantics.- Vision.- Recognition of Partially Occluded Flat Objects.- Estimating 3D Shape from the Optical Flow of Photometric Stereo Images.- Computer Vision Interaction for Virtual Reality.- Placing Artificial Visual Landmarks in a Mobile Robot Workspace.- Genetic Algorithms.- Selection Analysis in Genetic Algorithms.- Human Face Identification Using Invariant Descriptions and aGenetic Algorithm.- Using the Min-Max Method to Solve Multiobjective Optimization Problems with Genetic Algorithms.- A New Genetic Operator for the Traveling Salesman Problem.- Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes.- Knowledge Engineering.- SpADD: An Active Design Documentation Framework Extension Applied to Spatial Layout Design Problems.- A Systematic Approach for Building Ontologies.- Intelligent Tutoring Systems.- A Method to Diagnose the User’s Level.- Natural Language Processing.- Phonetic Classification in Spanish Using a Hierarchy of Specialized ANNs.- Neural Nets.- A Generalisation Study on Neural Corner Detection.- Constraint Programming.- Defeasible Constraint Solving over the Booleans.- Planning.- A Nonlinear Planner for Solving Sequential Control Problems in Manufacturing Systems.