My Account Log in

1 option

Advanced Topics in Artificial Intelligence : 12th Australian Joint Conference on Artificial Intelligence, AI'99, Sydney, Australia, December 6-10, 1999, Proceedings / edited by Norman Foo.

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

View online
Format:
Book
Contributor:
Foo, N. Y. (Norman Y.), editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 1747.
Lecture Notes in Artificial Intelligence ; 1747
Language:
English
Subjects (All):
Artificial intelligence.
Artificial Intelligence.
Local Subjects:
Artificial Intelligence.
Physical Description:
1 online resource (XVI, 508 pages).
Edition:
First edition 1999.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
System Details:
text file PDF
Summary:
The 12th Australian Joint Conference on Artificial Intelligence (AI'QQ) held in Sydney, Australia, 6-10 December 1999, is the latest in a series of annual re- gional meetings at which advances in artificial intelligence are reported. This series now attracts many international papers, and indeed the constitution of the program committee reflects this geographical diversity. Besides the usual tutorials and workshops, this year the conference included a companion sympo- sium at which papers on industrial appUcations were presented. The symposium papers have been published in a separate volume edited by Eric Tsui. Ar99 is organized by the University of New South Wales, and sponsored by the Aus- tralian Computer Society, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Computer Sciences Corporation, the KRRU group at Griffith University, the Australian Artificial Intelligence Institute, and Neuron- Works Limited Ar99 received over 120 conference paper submissions, of which about o- third were from outside Australia. Prom these, 39 were accepted for regular presentation, and a further 15 for poster display. These proceedings contain the full regular papers and extended summaries of the poster papers. All papers were refereed, mostly by two or three reviewers selected by members of the program committee, and a list of these reviewers appears later. The technical program comprised two days of workshops and tutorials, fol- lowed by three days of conference and symposium plenary and paper sessions.
Contents:
Machine Learning I
Generating Rule Sets from Model Trees
Classifying and Learning Cricket Shots Using Camera Motion
Unsupervised Learning in Metagame
Neural Nets
A Neural Networks Based Approach for Fast Mining Characteristic Rules
FANRE: A Fast Adaptive Neural Regression Estimator
Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting
Knowledge Representation I
Semantic Integration of Databases Using Linguistic Knowledge
Representing 'Just Invalid' Knowledge
Maximising Expected Utility for Behaviour Arbitration
Natural Language
Generating Natural Language Descriptions of Project Plans
Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
Sync/Trans: Simultaneous Machine Interpretation between English and Japanese
Belief Revision
Minimal Belief Change and Pareto-Optimality
Basic Infobase Change
A Framework for Multi-Agent Belief Revision Part I: The Role of Ontology
Adaptive Algorithms
Genetic Programming for Multiple Class Object Detection
A Simulated Annealing-Based Learning Algorithm for Boolean DNF
Mutant: A Genetic Learning System
Automated Reasoning
Computing Least Common Subsumers in Expressive Description Logics
E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover
PTTP+GLiDeS: Guiding Linear Deductions with Semantics
Neural Learning
Neural Network Learning Using Low-Discrepancy Sequence
An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles
Neurofuzzy Learning of Mobile Robot Behaviours
Knowledge Representation II
INDu: An Interval and Duration Network
A Logical Framework for Inductive Inference and Its Rationality
Semantics for Pollock's Defeasible Reasoning
Heuristics
Feasibility of Optimised Disjunctive Reasoning for Approximate Matching
An Examination of Probabilistic Value-Ordering Heuristics
Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains
Knowledge Representation III
Abduction without Minimality
Causal Propagation Semantics - A Study
Arc Weights for Approximate Evaluation of Dynamic Belief Networks
Machine Learning II
Finding Outpoints in Noisy Binary Sequences - A Revised Empirical Evaluation
Q-Learning in Continuous State and Action Spaces
Applications
On Understanding Global Behavior of Teams in Robot Soccer Simulators
Visual Human-Machine Interaction
Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
Poster Papers (Extended Summary)
Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure
A Procedural Approach for Rule Based Update
Learning Logic Programs with Local Variables from Positive Examples
Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input
A Serving Agent for Integrating Soft Computing and Software Agents
A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model
A Constraint Optimization Framework for MultiAgent Anytime Scheduling
Evolving Modular Neural Networks Using Rule-Based Genetic Programming
A Trajectory Approach to Causality
Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals
Reconsidering Fitness and Convergence in Co-evolutionary Design
A Proposal of Generating Artistic Japanese Calligraphic Fonts
Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling
Knowledge-Based Communication Processes in Building Design
Information-Based Cooperation in Multiple Agent Systems.
Other Format:
Printed edition:
ISBN:
978-3-540-46695-6
9783540466956
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account