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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.


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).


  • 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


  • Vassilis George Kaburlasos
  • E-mail:
  • Telephone: + 30(2510)462320
  • Fax: + 30(2510)462-348



VicomTech Cursos de Verano UPV/EHU
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IEEE Spain
IEEE Spain
MIR Labs



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