AI 2001: Advances in Artificial Intelligence 14th International Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001, Proceedings /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Brooks, Mike (Editor, http://id.loc.gov/vocabulary/relators/edt), Corbett, Dan (Editor, http://id.loc.gov/vocabulary/relators/edt), Stumptner, Markus (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:Lecture Notes in Artificial Intelligence ; 2256
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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 to the 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.