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AI 2001: Advances in Artificial Intelligence : 14th International Joint Conference on Artificial Intelligence, Adelaide, Australia, December 10-14, 2001, Proceedings / edited by Mike Brooks, Dan Corbett, Markus Stumptner.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Brooks, Michael J., 1954- editor.
Corbett, Dan, editor.
Stumptner, Markus, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 2256.
Lecture Notes in Artificial Intelligence ; 2256
Language:
English
Subjects (All):
Artificial intelligence.
Computers.
Logic, Symbolic and mathematical.
Artificial Intelligence.
Computation by Abstract Devices.
Mathematical Logic and Formal Languages.
Local Subjects:
Artificial Intelligence.
Computation by Abstract Devices.
Mathematical Logic and Formal Languages.
Physical Description:
1 online resource (XII, 672 pages).
Edition:
First edition 2001.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
System Details:
text file PDF
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.
Other Format:
Printed edition:
ISBN:
978-3-540-45656-8
9783540456568
Access Restriction:
Restricted for use by site license.

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