AI 2001: Advances in Artificial Intelligence (eBook, PDF)

14th International Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001, Proceedings
Redaktion: Brooks, Mike; Stumptner, Markus; Corbett, Dan

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001.The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 672
• Erscheinungstermin: 31. Juli 2003
• Englisch
• ISBN-13: 9783540456568
• Artikelnr.: 53329083

Autorenporträt

Mike Brooks, University of Adelaide, Australia / Dan Corbett, University of South Australia, Mawson Lakes, Australia / Markus Stumptner, University of South Australia, Mawson Lakes, Australia

Inhaltsangabe

Papers.- A Memetic Pareto Evolutionary Approach to Artificial Neural Networks.- Relating Defeasible and Default Logic.- Resolving Minsky's Paradox : The d-Dimensional Normal Distribution Case.- Solving Overconstrained Temporal Reasoning Problems.- How the Level of Interchangeability Embedded in a Finite Constraint Satisfaction Problem Affects the Performance of Search.- Towards Learning Naive Physics by Visual Observation: Qualitative Spatial Representations.- Phased Array Sub-beam Optimisation.- Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System.- An Efficient Form Classification Method Using Partial Matching.- Gradient Descent Style Leveraging of Decision Trees and Stumps for Misclassification Cost Performance.- Postdiction Problems in Dynamic Logic.- A Method for Reasoning with Ontologies Represented as Conceptual Graphs.- Selection of Tasks and Delegation of Responsibility in a Multiagent System for Emergent Process Management.- State Minimization Re-visited.- Decidability of Quantifed Propositional Branching Time Logics.- Improved Techniques for an Iris Recognition System with High Performance.- An Investigation of an Adaptive Poker Player.- Acquiring Adaptation Knowledge for CBR with MIKAS.- A Real-Time Region-Based Motion Segmentation Using Adaptive Thresholding and K-Means Clustering.- Automatic Cell Classification in Human's Peripheral Blood Images Based on Morphological Image Processing.- Formal Concept Analysis for Domain-Specific Document Retrieval Systems.- Learner's self-assessment: a case study of SVM for information retrieval.- A Semiotic Model of Communication and Its Implications for the Digital City Development.- Simulations for Comparing Knowledge Acquisition and Machine Learning.- Application of Genetic Algorithms tothe Optimisation of Neural Network Configuration for Stock Market Forecasting.- Updating epistemic states.- Fast Text Classification Using Sequential Sampling Processes.- Agents in a Multi-cultural World: Towards Ontological Reconciliation.- Logical Foundations for Reasoning about Trust in Secure Digital Communication.- Phe-Q : A Pheromone Based Q-Learning.- Specification of Kansei Patterns in an Adaptive Perceptual Space.- Embodying the JACK Agent Architecture.- Towards an Ontology of Part-of.- Actions Made Explicit in BDI.- Wrapping Boosters against Noise.- Continuous Temporal Models.- Language and Commonsense Knowledge.- Simulation of Network Security with Collaboration among IDS Models.- Programming Spoken Dialogs Using Grammatical Inference.- Towards Genetic Programming for Texture Classification.- Using Design Information to Identify Structural Software Faults.- The Application of AI to Automatically Generated Animation.- Planning with Noisy Actions (Preliminary Report).- Getting the Job Done in a Hostile Environment.- Solving the Qualification Problem (In the Presence of the Frame Problem).- Dialogue Modelling for a Conversational Agent.- Candidate Elimination Criteria for Lazy Bayesian Rules.- Simplifying the Development of Intelligent Agents.- An Operational Semantics for a PRS-Like Agent Architecture.- A Model of Unconstrained Digit Recognition Based on Hypothesis Testing and Data Reconstruction.- Collecting Quality Data for Database Mining.- Further Pruning for Efficient Association Rule Discovery.- Pattern Discovery in Probabilistic Databases.- The Complexity of Logic Program Updates.- Reasoning with Multimedia Information Using Symbolic Projection.- Invited Contribution.- Confidence Relations as a Basis for Uncertainty Modeling, Plausible Reasoning, and Belief Revision.