Assoc. Prof. Tatiana Valentine Guy, Ph.D.
Head of the department
Department:
Department of Adaptive Systems
Research interests:
conceptual and theoretical aspects of decision-making (DM); fully probabilistic design; descriptive DM; cooperation and negotiation support; DM (ir)rationality, limited deliberation-effort allocation; transfer learning in DM; inspection of distributed DM in complex, uncertain and evolving environments;
Biography
Publication list
Education:
Assoc.prof. in Systems Engineering & Informatics (2022); PhD (1999) in Cybernetics, Czech Technical University
Dipl.-Eng. (1991) in Control Theory, Kiev Polytechnic Institute.
Employment:
since 2013 head of Adaptive Systems Department, ÚTIA
2007-2013 vice-head of Adaptive Systems Department, ÚTIA
since 1994 researcher in Adaptive Systems Department, ÚTIA
1988 -1991 research assistant (part-time). Kiev Polytechnic Institute.
Books and chapters
- : On the Origins of Imperfection and Apparent Non-Rationality, Decision Making: Uncertainty, Imperfection, Deliberation and Scalability, p. 57-92, Eds: Guy Tatiana V., Kárný Miroslav, Wolpert David H. Download [2014]
- : Decision Making: Uncertainty, Imperfection, Deliberation and Scalability, Springer (Cham, 2014) [2014]
- : Decision Making and Imperfection, Springer (Berlin, 2013) DOI: 10.1007/978-3-642-36406-8 [2013]
- : Decision Making with Imperfect Decision Makers, Springer-Verlag (Berlin, 2012) DOI: 10.1007/978-3-642-24647-0 [2012]
- : On Support of Imperfect Bayesian Participants, Decision Making with Imperfect Decision Makers, p. 29-56 Download DOI: 10.1007/978-3-642-24647-0 [2012]
- : Optimized Bayesian Dynamic Advising: Theory and Algorithms, Springer (London, 2006) [2006]
Journal articles
- : Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function, IEEE Access 12 1 (2024), p. 177204-177218 Download Download DOI: 10.1109/ACCESS.2024.3497589 [2024]
- : Optimal design of priors constrained by external predictors, International Journal of Approximate Reasoning 84 1 (2017), p. 150-158 Download DOI: 10.1016/j.ijar.2017.02.001 [2017]
- : Fully probabilistic design of hierarchical Bayesian models, Information Sciences 369 1 (2016), p. 532-547 Download DOI: 10.1016/j.ins.2016.07.035 [2016]
- : Fully probabilistic knowledge expression and incorporation, Statistics and its Interface 7 4 (2014), p. 503-515 Download DOI: 10.4310/SII.2014.v7.n4.a7 [2014]
- : Cooperation via sharing of probabilistic information, International Journal of Computational Intelligence Studies, p. 139-162 Download [2009]
- : Ranking as parameter estimation, International Journal of Operational Research 4 2 (2009), p. 142-158 Download DOI: 10.1504/IJOR.2009.022597 [2009]
- : Fully probabilistic control design, Systems and Control Letters 55 4 (2006), p. 259-265 Download [2006]
- : How to exploit external model of data for parameter estimation?, International Journal of Adaptive Control and Signal Processing 20 1 (2006), p. 41-50 Download [2006]
- : Robust estimation of autoregressive processes using a mixture-based filter-bank, Systems and Control Letters 54 4 (2005), p. 315-323 Download [2005]
- : Contribution to fault detection and diagnosis: Mixture-based modelling, ERCIM News 56 (2004), p. 39 [2004]
- : Mixture-based adaptive probabilistic control, International Journal of Adaptive Control and Signal Processing 17 2 (2003), p. 119-132 Download [2003]
- : Automatický systém podporující operátory složitých procesů, Automatizace 46 3 (2003), p. 177-179 Download [2003]
- : Systém ProDaCTool pro podporu operátorů složitých procesů, CHEMagazín 12 4 (2002), p. 23-29 Download [2002]
- : Design of an adaptive controller of LQG type: spline-based approach, Kybernetika 36 2 (2000), p. 255-262 [2000]
- : Biokinetics of 131 I in the human organism, Journal of Radioanalytical and Nuclear Chemistry 209 2 (1996), p. 347-353 [1996]
Other publications
- : Policy Learning via Fully Probabilistic Design, DYNALIFE WG1-WG2 Interaction Meeting Data driven evidence: theoretical models and complex biological data, p. 52-52 Download [2024]
- : Observables are proper models of measurements, Quantum Information and Probability: from Foundations to Engineering (QIP24) - Posters Download [2024]
- : Similarity-based transfer learning of decision policies, Proceedings of the IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS 2020, p. 37-44 Download DOI: 10.1109/SMC42975.2020.9283093 [2020]
- : GAMENET2019-EUROPEAN NETWORK FOR GAME THEORY CONFERENCE Download [2019]
- : Preference Elicitation within Framework of Fully Probabilistic Design of Decision Strategies, IFAC-PapersOnLine. Volume 52, Issue 29 - Proceedings of the 13th IFAC Workshop on Adaptive and Learning Control Systems 2019, p. 239-244 Download DOI: 10.1016/j.ifacol.2019.12.656 [2019]
- : Affective Decision-Making in Ultimatum Game: Responder Case, Multi-Agent Systems : 16th European Conference, EUMAS 2018, Revised Selected Papers Download DOI: 10.1007/978-3-030-14174-5_9 [2019]
- : Lazy Fully Probabilistic Design: Application Potential, Multi-Agent Systems and Agreement Technologies, p. 281-291 Download DOI: 10.1007/978-3-030-01713-2_20 [2018]
- : On Decentralized Implicit Negotiation in Modified Ultimatum Game, Multi-Agent Systems and Agreement Technologies, p. 357-369 Download DOI: 10.1007/978-3-030-01713-2_25 [2018]
- : NIPS Workshop on Imperfect Decision Makers 2016: Preface, Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers, p. 1-3, Eds: Guy Tatiana Valentine, Kárný Miroslav, Rios-Insua D., Wolpert D. H. Download [2017]
- : Experimental Performance of Deliberation-Aware Responder in Multi-Proposer Ultimatum Game, Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers, p. 51-60, Eds: Guy Tatiana Valentine, Kárný Miroslav, Rios-Insua D., Wolpert D. H. Download [2017]
- : Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers, JMLR (Cambridge, 2016) Download [2016]
- : IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITY a workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)\n Download [2016]
- : Deliberation-aware Responder in Multi-Proposer Ultimatum Game, Artificial Neural Networks and Machine Learning – ICANN 2016, p. 230-237 Download DOI: 10.1007/978-3-319-44778-0_27 [2016]
- : Theoretical models of decision-making in the Ultimatum Game: Fairness vs. Reason, Advances in Cognitive Neurodynamics (V), p. 185-191, Eds: Wang Rubin, Pan Xiaochuan Download DOI: 10.1007/978-981-10-0207-6_26 [2016]
- : Lazy Learning of Environment Model from the Past, SPMS 2015, p. 1-10 Download [2015]
- : Theoretical models of decision-making in the Ultimatum Games: Fairness vs. Reason, The 5th International Conference on Cognitive Neurodynamics (ICCN2015), p. 88, Eds: Wang R., Pan X. Download [2015]
- : Lazy Fully Probabilistic Design of Decision Strategies, Advances in Neural Networks – ISNN 2014, p. 140-149, Eds: Zhigang Zeng, Yangmin Li, King Irwin Download DOI: 10.1007/978-3-319-12436-0_16 [2014]
- : DEMO: What Lies Beneath Players' Non-Rationality in Ultimatum Game?, Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013, Eds: Guy Tatiana V., Kárný Miroslav Download [2013]
- : Scalable Decision Making: Uncertainty, Imperfection, Deliberation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), ÚTIA AV ČR, v.v.i (Prague, 2013) [2013]
- : The 3rd International Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation Download [2013]
- : The 2nd International Workshop on Decision Making with Multiple Imperfect Decision Makers [2011]
- : Automated Preferences Elicitation, The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), p. 20-25 Download [2011]
- : The 2nd International Workshop on Decision Making with Multiple Imperfect Decision Makers, Institute of Information Theory and Automation (Prague, 2011) Download [2011]
- : Preference Elicitation in Fully Probabilistic Design of Decision Strategies, Proceedings of the 49th IEEE Conference on Decision and Control, p. 5327-5332 Download DOI: 10.1109/CDC.2010.5717087 [2010]
- : Decision Making with Multiple Imperfect Decision Makers [2010]
- : Sharing of knowledge and preferences among imperfect Bayesian decision makers, Decision Making with Multiple Imperfect Decision Makers, p. 1-6, Eds: Guy Tatiana V., Karny Miroslav, Wolpert David Download [2010]
- : Decision making with multiple imperfect decision makers a workshop in conjuction with the 24nd Annual Conference on Neural Information Processing Systems, ÚTIA AV ČR, v.v.i (Praha, 2010) [2010]
- : Fully Probabilistic Design: Promises and Prospects, NIPS 09, Minisymposia and Workshps, p. 102-102 Download [2009]
- : Completion and Sharing of Probabilistic Information, Abstracts of Contributions to 5th International Workshop on Data – Algorithms – Decision Making, p. 17-17, Eds: J a n ž u r a M a r t i n, I v á n e k J i ř í Download [2009]
- : Fully probabilistic knowledge expression and incorporation, Istituto di Matematica Applicata e Tecnologie Informatiche (Milano, 2008) Download [2008]
- : Cooperation via sharing of probabilistic elements, Istituto di Matematica Applicata e Tecnologie Informatiche (Milano, 2008) Download [2008]
- : Cooperative decision making without facilitator, IFAC Workshop "Adaptation and Learning in Control and Signal Processing" /9./, p. 1-6, Eds: Andrievsky B.R. , Fradkov A.L. Download [2007]
- : Fully Probabilistic Decision Making, ÚTIA AV ČR (Praha, 2006) [2006]
- : Case Studies in Optimized Bayesian Dynamic Advising. (Program), ÚTIA AV ČR (Praha, 2005) [2005]
- : Mixtools Interactive User's Guide, ÚTIA AV ČR (Praha, 2005) [2005]
- : Stationary fully probabilistic control design, Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics, p. 109-112, Eds: Filipe J., Cetto J. A., Ferrier J. L., INSTICC (Barcelona, 2005) [2005]
- : Multiobjective probabilistic mixture control, Preprints of the 16th World Congress of the International Federation of Automatic Control, p. 1-6, Eds: Horáček P., Šimandl M., Zítek P., IFAC (Prague, 2005) [2005]
- : Bayes for rolling mills: From parameter estimation to decision support, Preprints of the 16th World Congress of the International Federation of Automatic Control, p. 1-6, Eds: Horáček P., Šimandl M., Zítek P., IFAC (Prague, 2005) Download [2005]
- : How to Exploit External Model of Data for Parameter Estimation?, ÚTIA AV ČR (Praha, 2005) Download [2005]
- : Construction of data filters for probabilistic mixtures, CSIMTA 2004: Complex Systems, Intelligence and Modern Technology Applications Download [2004]
- : Framework for Multisensory Convergence, Multiple Participant Decision Making, p. 63-74 Download [2004]
- : Probabilistic mixture control with multimodal target, Multiple Participant Decision Making, p. 89-98 [2004]
- : On dynamic decision-making scenarios with multiple participants, Multiple Participant Decision Making, p. 17-28 Download [2004]
- : On Generalized Factors in Mixture Learning and Prediction, ÚTIA AV ČR (Praha, 2003) Download [2003]
- : Mixtools. (Program), ÚTIA AV ČR (Praha, 2003) [2003]
- : 4th International PhD Workshop Information Technologies & Control. Young Generation Viewpoint (2003) [2003]
- : Learning and Prediction with Normal Mixtures, ÚTIA AV ČR (Praha, 2002) [2002]
- : Mixtools: User's Guide, ÚTIA AV ČR (Praha, 2002) Download [2002]
- : On modelling of collective relaxation processes in liquid crystals with dipole ordering, Liquid Crystal Conference ILCC 2002, p. 373, University of Edinburgh (Edinburgh, 2002) [2002]
- : Possible way of improving the quality of modelling for adaptive control, Computer Aided Control System Design, p. 179-185, Elsevier (Amsterdam, 2001) [2001]
- : Modelling for adaptive control: A smoothness problem. Abstract, International Conference on Prediction and Decision Making under Uncertainties. PDMU 2001. Abstracts, p. 22, UKR AN (Kiev, 2001) [2001]
- : On structure of local models for hybrid controllers, Artificial Neural Nets and Genetic Algorithms. Proceedings, p. 340-344, Eds: Kůrková V., Neruda R., Kárný M., Steele N. C., Springer (Wien, 2001) [2001]
- : Possible way of improving the quality of modelling for adaptive control, Computer Aided Control Systems Design. 8th IFAC Symposium, p. 1-5, University of Salford (Salford, 2000) [2000]
- : Hybrid Adaptive Controller. Ph.D. Thesis (1999) [1999]
- : Linear adaptive controller based on smoothing noisy data algorithm, European Control Conference. ECC '99, VDI/VDE GMA (Karlsruhe, 1999) [1999]
- : Smoothing Noisy Data by Splines to Design of an Adaptive Controller, ÚTIA AV ČR (Praha, 1998) [1998]
- : Spline-based hybrid adaptive controller, Modelling, Identification and Control. Proceedings, p. 118-122, IASTED Acta Press (Anaheim, 1997) Download [1997]
- : Modelování kinetiky 131 J při léčbě nemocí štítné žlázy, Sborník abstraktů XIX. dnů lékařské biofyziky, p. 13-14, Masarykova univerzita (Brno, 1996) [1996]
- : An Example of System Estimation for MIMO ARX Model, ÚTIA AV ČR (Praha, 1996) [1996]
- : Spline-based modelling of controlled systems, Computer-Intensive Methods in Control and Signal Processing. Preprints of the 2nd European IEEE Workshop CMP'96, p. 73-77, Eds: Berec L., Rojíček J., Kárný M., Warwick K., ÚTIA AV ČR (Praha, 1996) Download [1996]
- : Biokinetics of 131I in human organism, Proceedings of the 19th Radiation Hygiene Days, p. 159-164, Slovak Medical Ass. (Bratislava, 1995) [1995]
- : Multivariate Integration Problem in the Nuclear Medicine, ÚTIA AV ČR (Praha, 1995) [1995]