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EDITORIAL INFORMATION

AIMSA'96 is the Seventh International Conference on Artificial Intelligence: Methodology, Systems, Applications, held in Sozopol, Bulgaria. This volume contains 35 contributions selected from 64 papers submitted to the conference.

The AIMSA conference series was founded as a forum for presentation of recent results and ongoing research in AI. The tittle of the AIMSA series indicates that the conference is concerned with general methodological issues in AI as well as particular systems and applications. The mix of papers accepted for this conference continues this tradition, with a number of papers on specific areas such as natural language and robotics but also several more general papers on overarching topics such as knowledge representation (both symbolic and connectionist) and AI methodology.

GENERAL TABLE OF CONTENTS

-Foreword.

-AIMSA'96 programme commitee.

-1. INDUCTIVE AND DEDUCTIVE METHODS.

-Learning translation templates from Bilingual texts.
-A feature-based design support system.
-Using case-based reasoning for controlling knowledge discovery.
-Relief for estimation and discretization of attributes in classification, regression, and ILP problems.
-A model-theoretic approach to ILP for learning from positive-only examples.
-Generating contexts in a multicontext setting.
-Fuzzy decission operations and linguistic hedges via fuzzy propositional logic structure.
-Adaptation of the certainty factor model to distributed and real-time reasoning systems.
-XI: A simple prolog-based language for cross-classification and inheritance.
-Incremental elimination of variables in CLP.
-Targetted communication in linear objects.

-2. KNOWLEDGE REPRESENTATION.

-A tree-structured artificial network for chaotic time series prediction.
-A theoretical investigation into the dynamic random neural network for the maximum independent set problem.
-Genetic algorithms in neural networks.
-Backpropagation based optical character recognition of medieval documents.
-Updating temporal knowledge modelling with epistemological concept languages in information systems engineering.
-Dynamic selection of tasks and methods as a knowledge level reflective activity.
-Knowledge analysis in KBS design.

-3. NATURAL LANGUAGE PROCESSING.

-Categorising texts by using a three-level functional style description.
-Attacking anaphora on all fronts.
-Multiclause sentence gestalt model for natural language comprehension.
-DB-MAT: A NL based interface to domain knowledge.
-A system for machine-aided translation NAS 2.0.

-4. APPLICATIONS AND ARCHITECTURES.

-Intelligent tasks and motion scheduling for autonomous human-type service.
-A hybrid robotic system for a mobile robot.
-Natural language access to intelligent robots: explaining automatic error recovery.
-Agent theory: autonomy and self-control.
-Improving the efficiency of backtrack search.
-Some heuristics to improve forward checking search method in CSP's.
-Minimal sensing plans in conditional monitoring.
-Dynamics of emergent computation in DUAL.
-A simple recognition method of Arabic characters by fuzzy techniques.
-Natural language names recognition method - fault tolerant to the most common mistypings.
-Non-linear equations systems solver.

-Author index.