Sagar, M., Henderson, A., Takac, M., Morrison, S., Knott, A., Moser, A., Yeh, W.-T., Pages, N., Jawed, K.: Deconstructing and reconstructing turn-taking in caregiver-infant interactions: a platform for embodied models of early cooperation. Journal of the Royal Society of New Zealand 53(1). 148-168. 2023. DOI: 10.1080/03036758.2022.2098781.
Farkaš, I., Ballová Mikušková, E., Takáč, M., Malinovská, K., Fandl, M.: Kognícia a umelý život 2023. Univerzita Komenského v Bratislave. 2023.
Takáč, M.: Čo chýba ChatGPT, aby rozumel, čo robí?. In Farkaš, I., Ballová Mikušková, E., Takáč, M., Malinovská, K., Fandl, M. (eds.), Kognícia a umelý život 2023, Univerzita Komenského v Bratislave. 74-75. 2023.
Fandl, M., Takáč, M.: Dizajn nového učiaceho pravidla pre moderné Hopfieldove siete. In Farkaš, I., Ballová Mikušková, E., Takáč, M., Malinovská, K., Fandl, M. (eds.), Kognícia a umelý život 2023, Univerzita Komenského v Bratislave. 26-27. 2023.
Kubík, J., Kyselica, D., Takáč, M.: Efficient fine-tuning of SlovakBERT with Epinet. In Brejová, B. et al. (eds.), ITAT 2023 Information Technologies – Applications and Theory 2023, Aachen. 96-101. 2023.
Šuba, D., Šuppa, M., Kubík, J., Hamerlik, E., Takáč, M.: WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition. In Piskorski, J. et al. (eds.), Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023), Association for Computational Linguistics. 138-145. 2023.
Hamerlik, E., Deb, M., Takáč, M.: Bi-Source Class Visualization: An Adversarial Neural Network-based Approach for Unbiased Class Visualization. In World Symposium on Digital Intelligence for Systems and Machines (DISA2023). 2023.
Knott, A., Sagar, M., Takac, M.: The ethics of interaction with neurorobotic agents: a case study with BabyX. AI and Ethics 2(1). 115-128. 2022.
Takáč, M., Knott, A., Sagar, M.: Etické aspekty neurorobotických simulácií. In Šejnová, G., Vavrečka, M., Hvorecký, J. (eds.), Kognice a umělý život XX., České vysoké učení technické v Praze. 126-132. 2022.
Fandl, M., Takáč, M.: Zvyšovanie efektivity trénovania a kapacity v atraktorovom neurálnom modeli asociatívnej pamäte. In Šejnová, G., Vavrečka, M., Hvorecký, J. (eds.), Kognice a umělý život XX., České vysoké učení technické v Praze. 2022.
Sagar, M., Moser, A., Henderson, A., Morrison, S., Pages, N., Nejati, A., Yeh, W.-T., Conder, J., Knott, A., Jawed, K., Takac, M.: A platform for holistic embodied models of infant cognition, and its use in a model of event processing. IEEE Transactions on Cognitive and Developmental Systems 2022. doi: 10.1109/TCDS.2022.3188152.
Knott, A., Takac, M.: Roles for Event Representations in Sensorimotor Experience, Memory Formation, and Language Processing. Topics in Cognitive Science 13(1). 187-205. 2021. DOI: 10.1111/tops.12497.
Mark Sagar, Alecia Moser, Annette Henderson, Sam Morrison, Nathan Pages, Alireza Nejati, Wan-Ting Yeh, Jonathan Conder, Alistair Knott, Khurram Jawed, Martin Takac: A platform for embodied models of infant cognition, and its use in a model of event perception. In 2021 IEEE International Conference on Development and Learning (ICDL). 1-7. 2021. doi: 10.1109/ICDL49984.2021.9515612.
Takac, M., Knott, A., Sagar, M.: SOM-based System for Sequence Chunking and Planning. In Farkaš, I., Masulli, P., Wermter, S. (eds.), Artificial Neural Networks and Machine Learning – ICANN 2020, Springer Nature Switzerland AG. 672-684. 2020.
Takac, M., Knott, A., Sagar, M.: C-block: A system for learning motor plans with perceptual consequences. In 1st SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) workshop, ICDL 2020. 2.-3. Nov 2020.
Takáč, M.: Myseľ ako objekt. Kalligram. 2020.
Fele, B and Takáč, M: A connectionist model of acquisition of noun phrases with syntactic bootstrapping. In Farkaš I. et al. (eds.), Kognícia a umelý život 2019, Univerzita Komenského v Bratislave. 31-32. 2019.
Farkaš I., Takáč M, Gergeľ P., Tomko M. (eds.): Kognícia a umelý život XIX. Univerzita Komenského v Bratislave. 2019.
Takáč, M: Modelovanie hipokampálnej reprezentácie priestoru pomocou rekurentnej samoorganizujúcej sa mapy. In Kognice a umělý život, Flow, Brno. 76-77. 2018.
Takac, M and Knott, A: A neural network model of event representations: Sensorimotor sequencing, place coding, self-organization, and Bayesian inference. In Computational Neuroscience of Event Cognition (CONNECT), University of Otago, Dunedin. 2018.
Takac, M. and Knott, A. and Stokes, S.: What can Neighbourhood Density effects tell us about word learning? Insights from a connectionist model of vocabulary development. Journal of Child Language 44(2). 346-379. 2017.
Patrzyk, P. and Takac, M.: Cognitive adaptations to criminal justice lead to “paranoid” norm obedience. Adaptive Behavior 25(2). 83-95. 2017.
Knott, A., Szymanski, L., McCane, B., Takac, M.: A model of object property representations: visual object classification, working memory and the syntax of predication. Technical report OUCS-2017-03. Department of Computer Science, University of Otago, Dunedin, New Zealand. 2017.
Patrzyk, P. and Takac, M.: Cooperation Via Intimidation: An Emergent System of Mutual Threats Can Maintain Social Order. Journal of Artificial Societies and Social Simulation (JASSS) 20(4). 2017. DOI: 10.18564/jasss.3336.
Knott, A and Takac, M: A sensorimotor interpretation of Logical Form, and its application in a model of Māori sentences. In Quinn, H and Massam D and Matthewson L (eds.), Linguistic travels in time and space: Festschrift for Liz Pearce. Wellington Working Papers in Linguistics Volume 23. 101-114. 2017.
Farkaš, I., Takáč, M., Rybár, J., Gergeľ, P.: Kognícia a umelý život 2017. Univerzita Komenského v Bratislave, Bratislava. 2017.
Takac, M and Knott, A: A simulationist model of episode representations in working memory. Technical report. University of Otago. 2016. TR OUCS-2016-01.
Palkovics, M.A. and Takac, M.: Exploration of cognition - affect and Type 1 - Type 2 dichotomies in a computational model of decision making. Cognitive Systems Research 40, 144-160. 2016.
Takac, M. and Knott, A.: Working memory encoding of events and their participants: a neural network model with applications in sensorimotor processing and sentence generation. In Papafragou, A. and Grodner, D. and Mirman, D. and Trueswell, J.C. (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX. 2345-2350. 2016.
Takac, M and Knott, A: Mechanisms for storing and accessing event representations in episodic memory, and their expression in language: a neural network model. In Papafragou, A. and Grodner, D. and Mirman, D. and Trueswell, J.C. (eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX. 532-537. 2016.
Knott, A and Takac, M: A simulationist model of episode representations in working memory: syntactic interpretation, nested episodes and storage requirements. Technical report. University of Otago. 2016. OUCS-2016-04.
Knott, A., Benuskova, L., Takac, M.: A model of semantic working memory: representing episodes and individuals as prepared sensorimotor sequences. In NeuroEng 2015: 8th Australasian Workshop on Computational Neuroscience, Queenstown, New Zealand 26 – 28 August. 2015.
Farkaš, I., Takáč, M., Rybár, J., Kelemen, J. (eds.): Kognícia a umelý život XV. Univerzita Komenského v Bratislave, Bratislava. 2015.
Takáč, M., Knott. A.: Reprezentácia epizód v pracovnej pamäti, problém viazania a vytváranie očakávaní. In Farkaš, I., Takáč, M., Rybár, J., Kelemen, J. (eds.), Kognícia a umelý život 2015, Univerzita Komenského v Bratislave, Bratislava. 178-184. 2015.
Takáč, M., Knott. A.: A neural network model of episode representations in working memory. Cognitive Computation 7(5). 509-525. 2015.
Takac, M and Knott, A: A simulationist model of episode representations in working memory:Technical appendix. Technical report OUCS-2015-01. Department of Computer Science, University of Otago. 2015.
Knott, A and Szymanski, L and Gorman, C and Takac, M: Predicative sentences and perceptual mechanisms. In Proceedings of Linguistic Society of New Zealand Conference, Dunedin, New Zealand, 14-15 December. 2015.
Knott, A and Takac, M: Training a neural network sentence generator to produce Māori sentences. In Proceedings of Linguistic Society of New Zealand Conference, Dunedin, New Zealand, 14-15 December. 2015.
Takáč, M.: Modelovanie efektu fonologického susedstva v akvizícii jazyka pomocou jednoduchej rekurentnej siete. In Kelemen, J., Vavrečková, Š. (eds.), , Slezská univerzita, Opava. 205-210. 2014.
Takáč, M., Knott, A.: A revised neural network model of episode representations in working memory. Technical report OUCS-2014-03. Department of Computer Science, University of Otago. 2014.
Takac, M., Knott, A.: A neural network model of working memory for episodes. Technical report OUCS-2013-01. Department of Computer Science, University of Otago. 2013.
Wein, A., Takáč, M.: Sensorimotor Characterization of Semantic Structures. Technical report TR-2013-037. Faculty of Mathematics, Physics, and Informatics Comenius University, Bratislava. 2013.
Pileckyte, I., Takáč, M.: Computational model of intrinsic and extrinsic motivation for decision making and action-selection. Technical report TR-2013-038. Faculty of Mathematics, Physics, and Informatics Comenius University, Bratislava. 2013.
Anetta, K., Takáč, M.: Towards Advanced Text Quality Evaluation Modelling. Technical report TR-2013-036. Faculty of Mathematics, Physics, and Informatics Comenius University, Bratislava. 2013.
Takáč, M.: Kognitívna sémantika - reprezentácia významov v živých a umelých systémoch. In Sborník studijních materiálů ke kurzu Kognitívní věda a umělá inteligence, Gaudeamus, Hradec Králové. 58-73. 2013.
Kelemen, J., Rybár, J., Farkaš, I., Takáč, M.: Kognitívní věda a umělý život. Slezská univerzita, Opava. 2013.
Takáč, M., Knott, A.: A neural network model of working memory for episodes. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX. 1432-1437. 2013.
Takáč, M., Knott, A.: Konekcionistický model epizodickej pracovnej pamäti. In Kelemen, J., Rybár, J., Farkaš, I., Takáč, M. (eds.), Kognitívní věda a umělý život, Slezská univerzita, Opava. 265-272. 2013.
Takáč, M., Beňušková, L., Knott, A.: Výpočtový model osvojovania abstraktnej a povrchovej syntaxe.. In Kelemen, J., Nahodil, P. (eds.), Kognice a umělý život XII, České vysoké učení technické, Praha. 220-225. 2012.
Takáč, M., Beňušková, L., Knott, A.: Language learning with meanings as stored sensorimotor sequences: a connectionist model. In Embodied and Situated Language Processing. 2012. Newcastle upon Tyne, UK.
Takac, M., Benuskova, L., Knott, A.: Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation. Cognition 125(2). 288-308. 2012.
Takáč, M.: Jazykové univerzáliá a stelesnená kognícia. In Rybár, J. et al (eds.), Kognitívne paradigmy, Europa. 151-166. 2012.
Takáč, M. and Šefránek, J.: Semantics of distinguishing criteria: from subjective to intersubjective. Interdisciplinary Description of Complex Systems 10(3). 248-269. 2012.
Takac, M., Benuskova, L., Knott, A.: A Sentence Generation Network that Learns Surface and Abstract Syntactic Structures. In Honkela, T.; Duch, W.; Girolami, M.; Kaski, S. (eds.), Artificial Neural Networks and Machine Learning - ICANN 2011, Springer, Heidelberg. 342-348. 2011.
Takac, M., Benuskova, L., Knott, A.: Mapping sensorimotor sequences to word sequences: A connectionist model of language acquisition and sentence generation. Technical report OUCS-2011-01. Department of Computer Science, University of Otago. 2011.
Takac, M., Benuskova, L., Knott, A.: A connectionist model of language acquisition and sentence generation: Technical appendix. Technical report OUCS-2011-03. Department of Computer Science, University of Otago. 2011.
Rebrová, K., Takáč, M.: Vnímanie a pomenovávanie farieb a farebných kategórií. In Kvasnička, V. et al. (eds.), Umelá inteligencia a kognitívna veda II [Artificial Intelligence and Cognitive Science II], Vydavateľstvo STU, Bratislava. 411 – 436. 2010.
Retová, D., Takáč, M.: Extending the semantics of distinguishing criteria with reasoning. In Kognice. 2010.
Takac, M., Knott A., Benuskova, L.: Episode representations as stored sensorimotor sequences: a case study in sentence generation. In 4th Australian Workshop on Computational Neuroscience. 4-5 November 2010.
Takac, M., Knott, A., Benuskova, L.: Generation of idioms in a simple recurrent network architecture. Technical report OUCS-2010-02. Department of Computer Science, University of Otago. 2010.
Takáč, M.: Construction of Meanings in Biological and Artificial Agents. In Trajkovski, G., Collins, S. G. (eds.), Agent-Based Societies: Social and Cultural Interactions, IGI Global, Hershey, PA. 139-157. 2009.
Takáč, M.: Konštruktivistický prístup k štúdiu kognície. In Kvasnička, V., Pospíchal, J., Kozák, Š., Návrat, P., Paroulek, P. (eds.), Umelá inteligencia a kognitívna veda I [Artificial Intelligence and Cognitive Science I], Vydavateľstvo STU, Bratislava. 395-424. 2009.
Takac, M., Benuskova, L., Knott, A.: Sure as Eggs is Eggs: Low Entropy as Predictor of Idiomaticity in Language Production by a Simple Recurrent Network. In The 17th Australian Language and Speech Conference (ALAS’09), University of West Sydney, Sydney. 145. 2009.
Takac, M., Knott, A., Benuskova, L.: The Production of Idiomatic Language in a Simple Recurrent Network. In The 4th Computational Cognitive Neuroscience Conference (CCNC-09), Psychonomic Society, Green Valley. 53. 2009.
Šefránek, J., Takáč, M., Farkaš, I.: Vznik inteligencie v umelých systémoch. In Magdolen, D. (eds.), Hmota, život, inteligencia: Vznik, VEDA, Bratislava. 245-270. 2008.
Takáč, M.: Autonomous Construction of Ecologically and Socially Relevant Semantics. Cognitive Systems Research 9(4). 293-311. . October 2008.
Takáč, M.: Developing Episodic Semantics. In Honkela, T., Pöllä, M., Paukkeri, M., Simula, O. (eds.), Proceedings of AKRR '08, the 2nd International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Helsinki University of Technology, Helsinki. 90-96. 2008.
Takáč, M.: Náčrt epizodicky ukotvenej sémantiky. In Kelemen, J., Kvasnička, V., Pstružina, K. (eds.), Kognice a umělý život VIII, Slezská univerzita, Opava. 325-332. 2008.
Takáč, M.: Princípy dizajnu rozumejúcich agentov. In Zborník príspevkov štipendistov z projektu JPD 3 BA 2005/1-043, Knižničné a edičné centrum FMFI UK, Bratislava. 106-109. 2008.
Takáč, M.: Kognitívna sémantika komplexných kategórií založená na rozlišovacích kritériách. In Kvasnička, V., Trebatický, P., Pospíchal, J., Kelemen, J. (eds.), Myseľ, inteligencia a život, Vydavateľstvo STU, Bratislava. 339 - 355. 2007.
Takáč, M.: Construction of Meanings in Living and Artificial Agents (PhD thesis). Comenius University, Bratislava. 2007.
Takáč, M.: Konštrukcia významov a jej dynamika v procese iterovaného učenia. In Kelemen, J., Kvasnička, V., Pospíchal, J. (eds.), Kognice a umělý život VII, Slezská univerzita, Opava. 341-347. 2007.
Šefránek, J., Takáč, M., Farkaš, I.: Vznik inteligencie v umelých systémoch. Technical report TR-2007-001. Comenius University, Bratislava. 2007.
Takáč, M.: When Meanings Are Not Mutually Exclusive: Issues in Receptive Field Based Grounded Cognitive Semantics. Technical report TR-2007-002. Comenius University, Bratislava. 2007.
Takáč, M.: Cognitive Semantics for Dynamic Environments. In Hitzler, P., Schärfe, H., P. Øhrstrøm (eds.), Contribution to ICCS 2006 - 14th International Conference on Conceptual Structures, Aalborg University Press, Aalborg, Denmark. 202-215. 2006.
Takáč, M.: Kognitívna sémantika rozlišovacích kritérií. In Kelemen, J., Kvasnička, V. (eds.), Kognice a umělý život VI, Slezská univerzita, Opava. 363-372. 2006.
Takáč, M.: Categorization by Sensory-Motor Interaction in Artificial Agents. In Fum, D., Del Missier, F., Stocco, A. (eds.), Proceedings of the 7th International Conference on Cognitive Modeling, Edizioni Goliardiche, Trieste, Italy. 310-315. 2006.
Takáč, M.: Modelovanie kultúrneho prenosu a jeho úloha v evolúcii jazyka. In Rybár, J., Kvasnička, V., Farkaš, I. (eds.), Jazyk a kognícia, Kalligram, Bratislava. 323-360. 2005.
Takáč, M.: Návrh kognitívnej architektúry pre jazykové experimenty. In Kelemen, J., Kvasnička,V., Pospíchal, J. (eds.), Kognice a umělý život V., Slezská univerzita, Opava. 549-562. 2005.
Takáč, M.: Kvalitatívne modelovanie a simulácia. Comenius University Press, Bratislava. 2003.
Takáč, M.: Koevolučné modelovanie vzniku jazyka. In Kelemen, J. (eds.), Kognice a umělý život III, Slezská univerzita, Opava. 197-205. 2003.
Bodík, P., Takáč, M.: Formation of a Common Spatial Lexicon and its Change in a Community of Moving Agents. In Tessem, B., Ala-Siuru, P., Doherty, P., Mayoh, B. (eds.), Frontiers in AI: Proceedings of the Eighth Scandinavian Conference on Artificial Intelligence (SCAI'03), IOS Press, Amsterdam. 37-46. 2003.
Takáč, M.: Kultúrna dynamika v koevolúcii jazyka. In Sinčák, P., Kvasnička, V., Pospíchal, J., Kelemen, J., Návrat, P. (eds.), Slovensko-České rozpravy o umelej inteligencii: Proceedings of CALCI-03, Elfa, Košice. 263-268. 2003.
Takáč, M.: Fixed Point Classification Method for Qualitative Simulation. Comenius University, Bratislava. 2001. Unpublished RNDr. thesis.
Takáč, M.: Emergencia lingvistických fenoménov v jazykových hrách. 2001. Dištančný kurz Kognitívne vedy 2000/2001, STU Bratislava.
Takáč, M.: A Qualitative System Theory Based Method for Stability Checking and Its Applicability to Qualitative Reasoning. Comenius University, Bratislava. 1997. Unpublished master thesis.
Takáč, M.: Fixed Point Classification Method for Qualitative Simulation. In Costa, E., Cardoso, A. (eds.), Progress in Artificial Intelligence: Proceedings of the Eighth Portuguese Conference on Artificial Intelligence (EPIA '97), Springer, Berlin. 255-266. 1997.
