aaai 1998 论文列表
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, AAAI 98, IAAI 98, July 26-30, 1998, Madison, Wisconsin, USA.
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Structured Probabilistic Models: Bayesian Networks and Beyond.
Development of Outdoor Navigation for a Robotic Wheelchair System.
Building Agents from Shared Ontologies Through Apprenticeship Multistrategy Learning.
Ensuring Reasoning Consistency in Hierarchical Architectures.
DL-$elect: A Decision-List-Based Data-Mining System.
Emotion-based Agents.
Handling Inconsistency for Multi-Source Integration.
A Framework for Reinforcement Learning on Real Robots.
Pluto: Managing Multistrategy Learning through Planning.
Estimating the Expected Error of Empirical Minimizers for Model Selection.
Discourse Learning: Dialogue Act Tagging with Transformation-Based Learning.
Raw Corpus Word Sense Disambiguation.
Dependent Bigram Identification.
Tutorial Response Generation in a Writing Tool for Deaf Learners of English.
Goal and Responsibility Allocation in Sensible Agent-Based Systems.
Refinement-Based Planning as Satisfiability.
Selection of Conflict Resolution Strategies in Dynamically Organized Sensible Agent-Based Systems.
Generalized A* for Cyclic AND/OR Graphs.
Nested Joint Probability Model for Morphological Analysis and its Grid Pruning.
Plan Recognition in Complex Spatial Domains.
Classification Using an Online Genetic Algorithm.
A New Approach to Rule Interest Measures.
A First Analysis of Qualitative Influences and Synergies.
Genetic Search for Accurate Feature Sets.
Learning to Teach with a Reinforcement Learning Agent.
A Script-Based Approach to Modifying Knowledge-Based Systems.
Rational Multiagent Organization and Reorganization.
Bayesian Reasoning for Tropical Cyclone Intensity Forecasting and Risk Analysis.
Neural Approaches to Blind Separation and Cumulant Analysis and Its Application to Diagnostics of Nuclear Power Plants.
Empirical Acquisition of Word-Sense Distinctions.
Data Mining for Maintenance of Complex Systems.
Extending the Classification Paradigm to Temporal Domains.
Learning in Markov Games with Incomplete Information.
Multimodal, Multilevel Selective Attention.
Exploiting Diversity for Natural Language Processing.
Perception, Memory, and the Field of View Problem.
Pragmatic Multi-Agent Learning.
Optimizing Initial Configurations of Neural Networks for the Task of Natural Language Learning.
HR - Automatic Concept Formation in Finite Algebras.
Generating Adequate Instructions: Knowing When to Stop.
Optimizing Information Agents by Selectively Materializing Data.
Conversation Machines for Transaction Processing.
An Expert System for Alarm System Planning.
Split Up: The Use of an Argument Based Knowledge Representation to Meet Expectations of Different Users for Discretionary Decision Making.
Intelligent Control of Life Support Systems for Space Habitats.
A Prototype Application of Fuzzy Logic and Expert Systems in Education Assessment.
Control Strategies in HTN Planning: Theory Versus Practice.
Hybrid Knowledge Based System for Automatic Classificaton of B-scan Images from Ultrasonic Rail Inspection.
Bayesian Network Models for Generation of Crisis Management Training Scenarios.
Expert System Technology for Nondestructive Waste Assay.
Realtime Constraint-Based Cinematography for Complex Interactive 3D Worlds.
Warfighter's Information Packager.
ANSWER: Network Monitoring Using Object-Oriented Rules.
Success in Spades: Using AI Planning Techniques to Win the World Championship of Computer Bridge.
Knowledge-Based Avoidance of Drug-Resistant HIV Mutants.
A New Technique Enables Dynamic Replanning and Rescheduling of Aeromedical Evacuation.
The NASD Regulation Advanced Detection System (ADS).
Automated Intelligent Pilots for Combat Flight Simulation.
Countrywide Automated Property Evaluation System - CAPES.
Turbine Engine Diagnostics (TED): An Expert Diagnostic System for the M1 Abrams Turbine Engine.
Using Artificial Intelligence Planning to Automate SAR Image Processing for Scientific Data Analysis.
Producing BT's Yellow Pages with Formation.
Multi Machine Scheduling: An Agent-Based Approach.
Sound Ontology for Computational Auditory Scence Analysis.
The Role of Data Reprocessing in Complex Acoustic Environments.
Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach.
Position Estimation for Mobile Robots in Dynamic Environments.
Template-Based Recognition of Pose and Motion Gestures On a Mobile Robot.
Eye Finding via Face Detection for a Foveated Active Vision System.
Alternative Essences of Intelligence.
Using Caching to Solve Larger Probabilistic Planning Problems.
Act, and the Rest Will Follow: Exploiting Determinism in Planning as Satisfiability.
Needles in a Haystack: Plan Recognition in Large Spatial Domains Involving Multiple Agents.
Acquisition of Abstract Plan Descriptions for Plan Recognition.
Maintaining Consistency in Hierarchical Reasoning.
Managing Multiple Tasks in Complex, Dynamic Environments.
Analyzing External Conditions to Improve the Efficiency of HTN Planning.
Inferring State Constraints for Domain-Independent Planning.
Extending Graphplan to Handle Uncertainty & Sensing Actions.
Conformant Graphplan.
Hybrid Planning for Partially Hierarchical Domains.
Automatic OBDD-Based Generation of Universal Plans in Non-Deterministic Domains.
Controlling Communication in Distributed Planning Using Irrelevance Reasoning.
Improving Big Plans.
Reducing Query Answering to Satisfiability in Nonmonotonic Logics.
Experimenting with Power Default Reasoning.
Fixpoint 3-Valued Semantics for Autoepistemic Logic.
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis.
Hermes: Supporting Argumentative Discourse in Multi-Agent Decision Making.
Machine Learning of Generic and User-Focused Summarization.
Generating Inference-Rich Discourse Through Revisions of RST-Trees.
Learning to Resolve Natural Language Ambiguities: A Unified Approach.
Knowledge Lean Word-Sense Disambiguation.
Learning to Classify Text from Labeled and Unlabeled Documents.
Ambiguity and Constraint in Mathematical Expression Recognition.
A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction.
Tree Based Discretization for Continuous State Space Reinforcement Learning.
Bayesian Q-Learning.
Applying Online Search Techniques to Continuous-State Reinforcement Learning.
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems.
Concepts From Time Series.
Feature Generation for Sequence Categorization.
Adaptive Web Sites: Automatically Synthesizing Web Pages.
Learning to Predict User Operations for Adaptive Scheduling.
Recommendation as Classification: Using Social and Content-Based Information in Recommendation.
Robust Classification Systems for Imprecise Environments.
Boosting Classifiers Regionally.
Boosting in the Limit: Maximizing the Margin of Learned Ensembles.
Learning Cooperative Lane Selection Strategies for Highways.
Optimal 2D Model Matching Using a Messy Genetic Algorithm.
SUSTAIN: A Model of Human Category Learning.
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way.
Temporal Reasoning with Qualitative and Quantitative Information about Points and Durations.
The Temporal Analysis of Chisholm's Paradox.
An Algebra for Cyclic Ordering of 2D Orientations.
A Formal Methodology for Verifying Situated Agents.
Abductive Planning with Sensing.
An Action Language Based on Causal Explanation: Preliminary Report.
Representing Scientific Experiments: Implications for Ontology Design and Knowledge Sharing.
Usability Issues in Knowledge Representation Systems.
OKBC: A Programmatic Foundation for Knowledge Base Interoperability.
A Fuzzy Description Logic.
Logical Representation and Computation of Optimal Decisions in a Qualitative Setting.
Probabilistic Frame-Based Systems.
Knowledge Intensive Exception Spaces.
TRIPS: An Integrated Intelligent Problem-Solving Assistant.
Integrating AI Components for a Military Planning Application.
Cooperating with people: the Intelligent Classroom.
Design Principles for Intelligent Environments.
BIG: A Resource-Bounded Information Gathering Agent.
Answering Questions for an Organization Online.
Towards Text Knowledge Engineering.
Information Extraction from HTML: Application of a General Machine Learning Approach.
Learning to Extract Symbolic Knowledge from the World Wide Web.
Finding Optimal Strategies for Imperfect Information Games.
Opponent Modeling in Poker.
Evolvable Hardware Chip for High Precision Printer Image Compression.
Highest Utility First Search Across Multiple Levels of Stochastic Design.
Fast Probabilistic Modeling for Combinatorial Optimization.
Learning Investment Functions for Controlling the Utility of Control Knowledge.
A Feature-Based Learning Method for Theorem Proving.
Stochastic Node Caching for Memory-bounded Search.
A* with Bounded Costs.
Which Search Problems Are Random?
Boosting Combinatorial Search Through Randomization.
Complete Anytime Beam Search.
Single-Agent Search in the Presence of Deadlocks.
Heuristic Search in Cyclic AND/OR Graphs.
The Constrainedness Knife-Edge.
Hard Problems for CSP Algorithms.
A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms.
Local Search for Statistical Counting.
Extending GENET to Solve Fuzzy Constraint Satisfaction Problems.
An Integer Local Search Method with Application to Capacitated Production Planning.
Using Arc Weights to Improve Iterative Repair.
A Fast Algorithm for the Bound Consistency of alldiff Constraints.
Branch and Bound Algorithm Selection by Performance Prediction.
Reversible DAC and Other Improvements for Solving Max-CSP.
"Squeaky Wheel" Optimization.
Supermodels and Robustness.
On the Computation of Local Interchangeability in Discrete Constraint Satisfaction Problems.
Generalizing Partial Order and Dynamic Backtracking.
On the Conversion between Non-Binary and Binary Constraint Satisfaction Problems.
Complexity Analysis of Admissible Heuristic Search.
The Branching Factor of Regular Search Spaces.
Computing Intersections of Horn Theories for Reasoning with Models.
A Non-Deterministic Semantics for Tractable Inference.
Algorithms for Propositional KB Approximation.
Anytime Approximate Modal Reasoning.
Two Forms of Dependence in Propositional Logic: Controllability and Definability.
An Algorithm to Evaluate Quantified Boolean Formulae.
Fast Transformation of Temporal Plans for Efficient Execution.
Backtracking Algorithms for Disjunctions of Temporal Constraints.
Qualitative Simulation as a Temporally-extended Constraint Satisfaction Problem.
Qualitative Analysis of Distributed Physical Systems with Applications to Control Synthesis.
A New Architecture for Automated Modelling.
An Ontology for Transitions in Physical Dynamic Systems.
Modeling Web Sources for Information Integration.
What can Knowledge Representation do for Semi-Structured Data?
Decompositional, Model-based Learning and its Analogy to Diagnosis.
Discovering Admissible Simultaneous Equations of Large Scale Systems.
Multimodal Reasoning for Automatic Model Construction.
Speech Recognition with Dynamic Bayesian Networks.
Solving Very Large Weakly Coupled Markov Decision Processes.
Structured Representation of Complex Stochastic Systems.
Constructing the Correct Diagnosis When Symptoms Disappear.
An Architecture for Exploring Large Design Spaces.
Toward Design as Collaboration.
Belief Revision with Unreliable Observations.
Reasoning Under Inconsistency Based on Implicitly-Specified Partial Qualitative Probability Relations: A Unified Framework.
Generating Coordinated Natural Language and 3D Animations for Complex Spatial Explanations.
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model.
What Is Wrong With Us? Improving Robustness Through Social Diagnosis.
Agents That Work in Harmony by Knowing and Fulfilling Their Obligations.
Metacognition in Software Agents Using Classifier Systems.
Natural Language Multiprocessing: A Case Study.
When Robots Weep: Emotional Memories and Decision-Making.
Emotion Model for Life-Like Agent and Its Evaluation.
A Motivational System for Regulating Human-Robot Interaction.
Anytime Coalition Structure Generation with Worst Case Guarantees.
Leveled Commitment Contracts with Myopic and Strategic Agents.
Optimal Auctions Revisited.
Minimal Social Laws.
Acceleration Methods for Numeric CSPs.
The Interactive Museum Tour-Guide Robot.
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability.
