Hybrid Artificial Intelligence Systems Based on Lattice Theory

Contents of the session

With the proliferation of both computing devices and Information Technologies, a variety of domain-specific information processing paradigms have emerged in different application domains including (digital) signal processing, prediction and decision-making by static/dynamic systems also under uncertainty and/or ambiguity, clustering, data mining, graph processing, symbol manipulation, etc. The corresponding mathematical modeling tools are, frequently, different also due to the need to cope with disparate types of data including logic values, (fuzzy) numbers/sets, (strings of) symbols, graphs, etc. A unification of the aforementioned tools is expected to result in a fruitful technology cross-fertilization. Nevertheless, an "enabling" mathematical framework is currently missing.

It turns out that popular types of data, including the aforementioned ones, are lattice(partially)-ordered. Hence, lattice theory (LT) emerges as an "enabling" mathematical framework. Moreover, based on meaningful knowledge-representations, an additional, fundamentally different, capacity of LC is to compute with semantics. LT has already demonstrated its potential for hybrid system design, which may accommodate, either separately or jointly in any combination, (non)numeric data.

This special session is an initiative for bringing forward novel ideas and research results of multidisciplinary character towards unified future advances. We solicit papers from different information processing domains including:

Topics of the special session include (but are not limited to):

Cryptography
Logic and Reasoning
Knowledge Discovery
Clustering Algorithms
Associative Memories
Mathematical Morphology
Formal Concept Analysis
Computational Intelligence
Data Bases
etc.

Our focus is on modeling applications of practical significance. Especially welcome are relevant papers involving:

Intelligent Agents
Human Computer Interaction (HCI)
Multimedia
Sensor Networks
Machine Learning
Statistics
etc.

Contributions

Every submitted paper to HAIS'10 will be reviewed by at least two experts in the field based on originality, significance, quality and clarity. Accepted contributions are to be published in the HAIS'10 Proceedings.

Papers must be prepared according to the LNCS-LNAI style template (see: http://www.springer.de/comp/lncs/authors.html) and must be no more than 8 pages long, including figures and bibliography.

NOTICE: At least one author of each accepted paper must register in order for the paper to be included in the HAIS 2010 Proceedings.

Authors are requested to submit their contributions through the HAIS'10 paper submission page and also email a copy to the chair of this special session (PDF format).

Co-Chairs

Vassilis George Kaburlasos - Technological Educational Institution of Kavala, Greece
Juan Humberto Sossa - National Polytechnic Institute, Mexico
Cliff Joslyn - Pacific Northwest National Laboratory, Seattle, USA

Program Committee

Angelos Amanatiadis - Technological Educational Institution of Kavala, Greece
Gonzalo Aranda-Corral - University of Huelva, Spain
Radim Belohlavek - Palacky University, Czech Republic
Isabelle Bloch - Ecole Nationale Supérieure des Télécommunications, France
Manuel Grana - Universidad del País Vasco
Anestis Hatzimichailidis - Technological Educational Institution of Kavala, Greece
Cliff Joslyn - Pacific Northwest National Laboratory, USA
Vassilis Kaburlasos - Technological Educational Institution of Kavala, Greece
Kevin Knuth - University at Albany, US
Lefteris Moussiades - Technological Educational Institution of Kavala, Greece
Theodore Pachidis - Technological Educational Institution of Kavala, Greece
George Papakostas - Democritus University of Thrace, Greece
Gerhard Ritter - University of Florida, US
Juan Humberto Sossa - National Polytechnic Institute, Mexico
Peter Sussner - University of Campinas, Brazil
Vassilis Syrris - Aristotle University of Thessaloniki, Greece
Gonzalo Urcid - National Institute of Astrophysics, Optics & Electronics, Mexico