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Cognitive Science in Bratislava, Slovakia. Roadmap of the Talk. History of Cognitive Science in Slovakia Education in CogSci in Slovakia Research & Project Opportunities. History of CogSci in Slovakia. origins in 1980s ...

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roadmap of the talk
Roadmap of the Talk
  • History of Cognitive Science in Slovakia
  • Education in CogSci in Slovakia
  • Research & Project Opportunities
history of cogsci in slovakia
History of CogSci in Slovakia
  • origins in 1980s...
  • paper Kováč L.: Introduction to Cognitive Biology, Biologické listy 53, 1986.
  • 1990s: seminar Cognitive Science for students of AI (E. Gál)
  • edition of antology of papers Gál E., Kelemen J.: Myseľ, telo, stroj (Mind – body - machine), 1992.
first interdisciplinary contacts
First interdisciplinary contacts
  • Prof. Ladislav Kováč –founder of cognitive biology (also at Konrad Lorenz Institute, Altenberg), biochemistry
  • Prof. Vladimír Kvasnička – theoretical chemistry, neural and evolutionary modeling
  • Ing. Egon Gál – philosophy of mind
  • doc. Ján Rybár – cognitive psychology, epistemology
  • Prof. Jozef Kelemen – AI, multiagent systems
  • Prof. Ivan Žucha – psychiatry
  • doc. Martin Kanovský – cognitive anthropology
  • doc. Ľubica Beňušková – neuroscience, neurogenetics (also at Univ. of Vienna)
history of cogsci in slovakia contd
History of CogSci in Slovakia – contd.
  • annual interdisciplinary seminar Cognitive Sciences at the Faculty of Chemical and Food Technology 1998-2001.
  • first Slovak monography Beňušková Ľ. et al.: Hľadanie spoločného jazyka v kognitívnych vedách (Quest for a Common Language in Cognitive Sciences), 2000.
annual czech slovak conference cognition and artificial life
Annual Czech-Slovak conference Cognition and Artificial Life
  • 2001 Smolenice, SK
  • 2002 Mílovy, CZ
  • 2003 High Tatras, SK
  • 2004 Hradec nad Moravicí, CZ
  • 2005 Smolenice, SK
  • 2006 Třešť, CZ
  • 2007 Smolenice, SK
  • 2008 Prague, CZ
monographies
Monographies
  • first Slovak textbook Rybár J. et al. (eds.): Kognitívne vedy (Cognitive Sciences), 2002.
  • Rybár et al. (eds.): Jazyk a kognícia (Language and Cognition), 2005.
  • in preparation: Mozog a myseľ (Brain and Mind)
  • books on related subjects…
education in cognitive science
Education in Cognitive Science
  • Middle European Interdisciplinary Master Programme in Cognitive Science
  • joint Masters Program in Cognitive Science
    • Faculty of Math., Physics, and Informatics(FMFI UK)
    • Faculty of Social and Economical Sciences (FSES UK)
education in cognitive science at fmfi uk
Education in Cognitive Science at FMFI UK
  • MEiCogSci
  • Cognitive Sciences – 2 semester open whole-university lectures (foreign guests: P. Gärdenfors, W. Haselager, I. M. Havel, J. Kelemen, S.Reiterer, W. van Heuven, M. Kovacevic, M. Mayberry, L. Ropolyi)
  • related subjects of AI (NN, neurocomputing, knowledge representation, comp. linguisitics, machine learning, cogn. psychology, etc.)
education in cognitive science at fses uk
Education in Cognitive Science at FSES UK
  • MEiCogSci
  • associated subjects…
department of applied informatics fmfi uk
Department of Applied Informatics FMFI UK
  • history: Department of Artificial Intelligence, Institute of Informatics
structure of k ai fmfi uk
Structure of KAI FMFI UK
  • Artificial Intelligence
  • Computer Graphics
  • Declarative Programing
  • Cognitive Science Centre
research areas
Research Areas
  • cognitive modeling with focus on linguistics
  • cognitive semantics
  • knowledge representation and dynamic logic programming
  • neurocomputing
  • cognitive psychology, filosophy of language, filosophy of cognitive sciences
cognitive modeling
Cognitive Modeling
  • Topic: Modeling complex systems with neural networks with focus onlinguistics
  • People: Igor Farkaš, Mária Markošová
  • Means:
    • small-world networks
    • neural network modeling
cognitive modeling contd
Cognitive Modeling – contd.
  • Small-world networks
    • typical properties (small average path length b/w two nodes, high clustering),scale-free organization
    • lexicon as a small-world network (graph whose nodes = words, edges = semantic associations b/w words)
    • growing networks, analysis of dynamics
  • Neural network modeling
    • focus on recurrent self-organizing models and echo state networks
    • representing sequences and trees - modeling language learning (e.g. via next-word prediction task)
cognitive modeling contd16
Cognitive Modeling – contd.
  • Recently published results (selected):
  • I. Farkas, M. Crocker: Recurrent networks and natural language: exploiting self-organization. In Proceedings of the 28th Annual Conference of the Cognitive Science Society, Vancouver, Canada, pp. 1275-1280, 2006.
  • I. Farkas: Self-organization as a driving force for dynamic patterns of activity in brain and mind (in Slovak). In J. Kelemen J. and V. Kvasnicka (Eds.): Cognition and artificial life VI, Trest, Czech Republic, pp. 143-148, 2006.
  • P. Tino, I. Farkas, J. van Mourik: Dynamics and Topographic Organization of Recursive Self-Organizing Maps. Neural Computation, 18, pp. 2529-2567, 2006.
  • M. Markosova: Language as a small world network (in Slovak), in Language and cognition, editors Rybar, Kvasnicka, Farkas, Kalligram, Bratislava, 2005, page 306
cognitive semantics modeling of language origins and acquisition
Cognitive Semantics, Modeling of Language Origins and Acquisition
  • Topic: Cognitive Semantics for Dynamic Environments
    • Symbol Grounding: Building semantic representations from scratch by sensory motor and linguistic interactions with the environment and community
    • Interactions between language and meanings in the acquisition process
    • Influence of the dynamics of interactions
  • People: Martin Takáč + students
  • Means: Multi-agent systems simulations
cognitive semantics modeling of language origins and acquisition contd
Cognitive Semantics, Modeling of Language Origins and Acquisition – contd.
  • Recently published results (selected):
    • Takáč, M.: Autonomous Construction of Ecologically and Socially Relevant Semantics. Cognitive Systems Research, in press.
    • Takáč, M.: Construction of Meanings in Living and Artificial Agents. In: Trajkovski, G., Collins, S. G. (eds.): Agent-Based Societies: Social and Cultural Interactions, IGI Global, Hershey, PA, in press.
    • Takáč, M.: Categorization by Sensory-Motor Interaction in Artificial Agents, in Proceedings of the 7th International Conference on Cognitive Modeling, Trieste, Italy, 2006.
knowledge representation
Knowledge representation
  • Topics:
    • Logic-based knowledge representation.
    • Nonmonotonic reasoning.
    • Logicprogramming.
    • Dynamic logic programming.
    • Belief revision.
    • Descriptionlogics, ontologies, semantic web.
    • Modal logics.
  • People: Ján Šefránek + students
knowledge representation contd
Knowledge representation– contd.
  • Recently published results (selected):
    • Martin Homola: Dynamic Logic Programming: Various Semantics are Equivalenton Acyclic Programs. In Leite, Torroni (eds.) Computational Logic inMulti-Agent Systems. Springer 2005.
    • Jozef Siska: Dynamic Logic Programming and world state evaluation incomputer games. Proc. of the Workshop on Logic Programming, WLP, Vienna,2006: 64-70
    • Jan Sefranek: Irrelevant updates and nonmonotonic assumtions. Logics inArtificla Intelligence. Springer 2006.
    • Jan Sefranek: Rethinking semanticsof dynamic logic programming. Proc. of the Workshop on NonmonotonicReasoning, NMR 2006, Lake District, UK
    • Jan Sefranek and Jozef Siska:Irrelevant updates of nonmonotonic knowledge bases. Proc. of the EuropeanConference on Artificial Intelligence (ECAI 2006)
    • Jan Sefranek:Nonmonotonic integrity constraints. 10th Workshop on logic programming(WLP), Vienna 2006
    • Jan Sefranek: Semantic considerations on rejection Proc. of NMR 2004, Whistler, BC, Canada.
computational neurogenetics
Computational Neurogenetics
  • Topic:
    • Computational Modelling of Genes, Proteins and Brain Functions - the world’s first theoretical framework and original computational models of biologically plausible artificial neural networks that simulate neural activity of certain brain areas in relation to internal networks of genes
  • People:
    • Ľubica Beňušková (Director of the Center for Neuroinformatics and Brain Study http://www.aut.ac.nz/research/research_institutes/kedri/research_centres/centre_for_neuroinformatics_and_brain_study/ )
computational neurogenetics22
Computational Neurogenetics
  • Recently published results (selected):
    • Benuskova L. and Kasabov N. (2007) Computational Neurogenetic Modeling. Springer, New York.
    • Kasabov N. and Benuskova L. (2005) Neuro-, genetic-, and neurogenetic information processing. In: Handbook of Computational and Theoretical Nanoscience, vol X, pp. 1-38, M. Rieth and W. Schommers (eds), American Scientific Publishers, Los Angeles.
    • Kasabov N. and Benuskova L. (2004) Computational neurogenetics. Journal of Computational and Theoretical Nanoscience, 1(1): 47-61.
cognitive science centre
Cognitive Science Centre
  • Topic: Philosophical problems of Cognitive Science
    • Ján Rybár (popularization of cognitive science, cognitive psychology, optical illusions)
    • Dezider Kamhal (philosophy of language, speech acts theory, pragmatics, L. Wittgenstein)
related ai research
Related AI research
  • Topics:
    • expert systems
    • speech recognition and synthesis
    • quantum computing
    • parallel computing
    • declarative programming
    • robotics
join t laboratory of mobile robotics
Joint Laboratoryof Mobile Robotics
  • Topics: teleoperated mobile robotics, autonomous mobile robotics,image processing, articial intelligence, sensor fusion,embedded systems, multi-agent systems, wirelesscommunications, education / e-learning
  • People: Richard Balogh, Andy Lúčny, Pavel Petrovič
  • www.robotika.sk
thank you for your attention
Thank you for your attention...
  • This presentation can be found athttp://www.ii.fmph.uniba.sk/~takac/ICS/zdroje/CogSciBA.ppt
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