| Riadok 3: | Riadok 3: | ||
== 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 | ||
| − | |||
*[[Jan Svantner|Ján Švantner]] (PhD student) - grammar learning with echo-state 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 | ||
| Riadok 12: | Riadok 11: | ||
*[[Kristina Rebrova|Kristína Rebrová]] (PhD student) - (situated) language learning | *[[Kristina Rebrova|Kristína Rebrová]] (PhD student) - (situated) language learning | ||
*[[Ľudovít Malinovský|Ludovit Malinovsky]](PhD student) - modeling the emergence of language as a collective cognitive activity | *[[Ľudovít Malinovský|Ludovit Malinovsky]](PhD student) - modeling the emergence of language as a collective cognitive activity | ||
| + | |||
| + | == Past members == | ||
| + | |||
| + | *[[Pavol Vanco|Pavol Vančo]] (PhD student) - processing structured data with recursive neural networks - defended his thesis in September 2010 | ||
== Projects == | == Projects == | ||
Verzia zo dňa a času 09:21, 30. september 2010
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.
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
- Ján Švantner (PhD student) - grammar learning with echo-state neural networks
- Michal Malý (PhD student) - intelligent agent design based on reinforcement learning
- Dana Retová (PhD student) - cognitive semantics
- Vladimir Chudy (PhD student) - human perception motivated speech recognition using neural networks
- Kristína Rebrová (PhD student) - (situated) language learning
- Ludovit Malinovsky(PhD student) - modeling the emergence of language as a collective cognitive activity
Past members
- Pavol Vančo (PhD student) - processing structured data with recursive neural networks - defended his thesis in September 2010
Projects
- 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)