(20 intermediate revisions by 2 users not shown)
Line 1: Line 1:
The research of this group spans theoretical approaches and experimental modeling of crucial phenomena in cognitive science, primarily related processing complex data as they appear in case of human language. The learning methods cover both neural and symbolic approaches to various subtasks (grammar learning, lexicon growth or lexical/sentence semantics).
+
The research of this group covers theoretical approaches and computational modelling of crucial phenomena in cognitive science, primarily related to language acquisition and processing. The learning methods focus on neural networks applied to various language subtasks (grammar learning, or lexical/sentence semantics), as well as a general adaptive method based on distinguishing criteria. Recent research goals include linking language learning with cognitive robotics. Seminar schedule is shown
 +
[[CNC_seminar|here]].
  
 
== Group members and their research focus ==
 
== Group members and their research focus ==
  
*[[Igor Farkas|Igor Farkaš]] - connectionist modeling of language learning, self-organization
+
*[[Igor Farkas|Igor Farkaš]] - connectionist modeling of language learning, self-organization, neurorobotics
 
*[[Martin Takac|Martin Takáč]] - cognitive semantics and knowledge representation, computational models of language emergence and language acquisition
 
*[[Martin Takac|Martin Takáč]] - cognitive semantics and knowledge representation, computational models of language emergence and language acquisition
*[[Pavol Vanco|Pavol Vančo]] - processing structured data with recursive neural networks
 
*[[Jan Svantner|Ján Švantner]] (PhD student) - grammar learning with echo-state neural networks
 
 
*[[Michal Maly|Michal Malý]] (PhD student) - intelligent agent design based on reinforcement learning
 
*[[Michal Maly|Michal Malý]] (PhD student) - intelligent agent design based on reinforcement learning
 
*[[Dana Retova|Dana Retová]] (PhD student) - cognitive semantics
 
*[[Dana Retova|Dana Retová]] (PhD student) - cognitive semantics
*Vladimír Chudý (PhD student) - human perception motivated speech recognition using neural networks
+
*[[Vladimir Chudy|Vladimír Chudý]] (PhD student) - human perception motivated speech recognition using neural networks
*[[Kristina Rebrova|Kristína Rebrová]] (PhD student) - (situated) language learning
+
*[[Kristina Rebrova|Kristína Rebrová]] (PhD student) - grounding language in sensorimotor cognition
*Ľudovít Malinovský (PhD student) - modeling the emergence of language as a collective cognitive activity
+
*[[Ludovit Malinovsky|Ľudovít Malinovský]] (PhD student) - modeling the emergence of language as a collective cognitive activity
 +
* [[Viliam Dillinger|Viliam Dillinger]] (PhD student) - neural network approach to modeling compositional behavior
  
== Projects ==
+
== Past members ==
  
* Modelling complex systems using neural networks with focus on linguistics (2005-2007, VEGA 1/2045/05)  
+
*[[Pavol Vanco|Pavol Vančo]] (PhD student) - processing tree-structured data with recursive self-organizing neural networks - defended his thesis in September 2010. See his webpage.
 +
*[[Jan Svantner|Ján Švantner]] (PhD student) - grammar learning with echo-state neural networks, sentence comprehension in visual world paradigm - defended his thesis in September 2011
 +
 
 +
== Supervised projects of foreign students (MEiCogSci mobility) ==
 +
 
 +
* Steffi Schreitter (U. Vienna, 2010) - Processing and comprehending meaningless sentences (project)
 +
* Christian Papauschek (U. Vienna,2011) - Autonomous learning and exploration (project)
 +
* Raphael Deimel (U. Vienna, 2011) - Making sense: An integrative view of understanding action and observation (master's thesis)
 +
 
 +
== Current and past projects ==
 +
 
 +
* Constructivist modelling of early cognitive development in a simulated embodied agent (2011-2013, VEGA 1/0439/11)
 
* Modeling language as a complex system with self-organization (2008-2010, VEGA 1/0361/08)
 
* Modeling language as a complex system with self-organization (2008-2010, VEGA 1/0361/08)
 +
* Modelling complex systems using neural networks with focus on linguistics (2005-2007, VEGA 1/2045/05)
 
* Cognitive science and traditional philosophical theories (2006-2008, VEGA 1/3612/06)
 
* Cognitive science and traditional philosophical theories (2006-2008, VEGA 1/3612/06)
 
* Integrated model of autonomous meaning construction (2007, JPD 3 BA 2005/1-043)
 
* Integrated model of autonomous meaning construction (2007, JPD 3 BA 2005/1-043)
 
* Environment for multi-agent systems specification (2006-2008, APVV-20-P04805)  
 
* Environment for multi-agent systems specification (2006-2008, APVV-20-P04805)  
 
* Cognitive semantics for dynamic environments (2006, UK/402/2006)
 
* Cognitive semantics for dynamic environments (2006, UK/402/2006)

Latest revision as of 15:36, 16 November 2011

The research of this group covers theoretical approaches and computational modelling of crucial phenomena in cognitive science, primarily related to language acquisition and processing. The learning methods focus on neural networks applied to various language subtasks (grammar learning, or lexical/sentence semantics), as well as a general adaptive method based on distinguishing criteria. Recent research goals include linking language learning with cognitive robotics. Seminar schedule is shown here.

Group members and their research focus

  • Igor Farkaš - connectionist modeling of language learning, self-organization, neurorobotics
  • Martin Takáč - cognitive semantics and knowledge representation, computational models of language emergence and language acquisition
  • Michal Malý (PhD student) - intelligent agent design based on reinforcement learning
  • Dana Retová (PhD student) - cognitive semantics
  • Vladimír Chudý (PhD student) - human perception motivated speech recognition using neural networks
  • Kristína Rebrová (PhD student) - grounding language in sensorimotor cognition
  • Ľudovít Malinovský (PhD student) - modeling the emergence of language as a collective cognitive activity
  • Viliam Dillinger (PhD student) - neural network approach to modeling compositional behavior

Past members

  • Pavol Vančo (PhD student) - processing tree-structured data with recursive self-organizing neural networks - defended his thesis in September 2010. See his webpage.
  • Ján Švantner (PhD student) - grammar learning with echo-state neural networks, sentence comprehension in visual world paradigm - defended his thesis in September 2011

Supervised projects of foreign students (MEiCogSci mobility)

  • Steffi Schreitter (U. Vienna, 2010) - Processing and comprehending meaningless sentences (project)
  • Christian Papauschek (U. Vienna,2011) - Autonomous learning and exploration (project)
  • Raphael Deimel (U. Vienna, 2011) - Making sense: An integrative view of understanding action and observation (master's thesis)

Current and past projects

  • Constructivist modelling of early cognitive development in a simulated embodied agent (2011-2013, VEGA 1/0439/11)
  • Modeling language as a complex system with self-organization (2008-2010, VEGA 1/0361/08)
  • Modelling complex systems using neural networks with focus on linguistics (2005-2007, VEGA 1/2045/05)
  • Cognitive science and traditional philosophical theories (2006-2008, VEGA 1/3612/06)
  • Integrated model of autonomous meaning construction (2007, JPD 3 BA 2005/1-043)
  • Environment for multi-agent systems specification (2006-2008, APVV-20-P04805)
  • Cognitive semantics for dynamic environments (2006, UK/402/2006)