Works matching AU CLEMPNER, Julio B.
Results: 42
A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior.
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- Journal of Artificial Societies & Social Simulation, 2017, v. 20, n. 2, p. 4, doi. 10.18564/jasss.3301
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- Article
Learning attack-defense response in continuous-time discrete-states Stackelberg Security Markov games.
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- Journal of Experimental & Theoretical Artificial Intelligence, 2024, v. 36, n. 7, p. 1239, doi. 10.1080/0952813X.2022.2135615
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- Article
A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models.
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- International Journal on Artificial Intelligence Tools, 2018, v. 27, n. 8, p. N.PAG, doi. 10.1142/S0218213018500343
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- Article
On Lyapunov Game Theory Equilibrium: Static and Dynamic Approaches.
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- International Game Theory Review, 2018, v. 20, n. 2, p. N.PAG, doi. 10.1142/S0219198917500335
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- Article
Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties.
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- International Game Theory Review, 2015, v. 17, n. 4, p. -1, doi. 10.1142/S0219198915500115
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- Article
A Lyapunov approach for stable reinforcement learning.
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- Computational & Applied Mathematics, 2022, v. 41, n. 6, p. 1, doi. 10.1007/s40314-022-01988-y
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- Article
A Markovian Stackelberg game approach for computing an optimal dynamic mechanism.
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- Computational & Applied Mathematics, 2021, v. 40, n. 6, p. 1, doi. 10.1007/s40314-021-01578-4
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- Article
Constructing the Pareto front for multi-objective Markov chains handling a strong Pareto policy approach.
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- Computational & Applied Mathematics, 2018, v. 37, n. 1, p. 567, doi. 10.1007/s40314-016-0360-6
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- Article
HANDLING A KULLBACK-LEIBLER DIVERGENCE RANDOM WALK FOR SCHEDULING EFFECTIVE PATROL STRATEGIES IN STACKELBERG SECURITY GAMES.
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- Kybernetika, 2019, v. 55, n. 4, p. 618, doi. 10.14736/kyb-2019-4-0618
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- Article
Dynamic Mechanism Design for Repeated Markov Games with Hidden Actions: Computational Approach.
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- Mathematical & Computational Applications, 2024, v. 29, n. 3, p. 46, doi. 10.3390/mca29030046
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- Article
Non-Cooperative Bargaining with Unsophisticated Agents.
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- Computational Economics, 2023, v. 61, n. 3, p. 937, doi. 10.1007/s10614-020-10003-7
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- Article
A Dynamic Mechanism Design for Controllable and Ergodic Markov Games.
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- Computational Economics, 2023, v. 61, n. 3, p. 1151, doi. 10.1007/s10614-022-10240-y
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- Article
Computing the Bargaining Approach for Equalizing the Ratios of Maximal Gains in Continuous-Time Markov Chains Games.
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- Computational Economics, 2019, v. 54, n. 3, p. 933, doi. 10.1007/s10614-018-9859-9
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- Article
Solving Transfer Pricing Involving Collaborative and Non-cooperative Equilibria in Nash and Stackelberg Games: Centralized–Decentralized Decision Making.
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- Computational Economics, 2019, v. 54, n. 2, p. 477, doi. 10.1007/s10614-018-9836-3
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- Article
Manipulation Game Considering No-Regret Strategies.
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- Mathematics (2227-7390), 2025, v. 13, n. 2, p. 184, doi. 10.3390/math13020184
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- Article
Characterizing Manipulation via Machiavellianism.
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- Mathematics (2227-7390), 2023, v. 11, n. 19, p. 4143, doi. 10.3390/math11194143
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- Article
Analytical Method for Mechanism Design in Partially Observable Markov Games.
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- Mathematics (2227-7390), 2021, v. 9, n. 4, p. 321, doi. 10.3390/math9040321
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- Article
Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games.
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- Cybernetics & Systems, 2020, v. 51, n. 1, p. 1, doi. 10.1080/01969722.2019.1656858
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- Article
A team formation method based on a Markov chains games approach.
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- Cybernetics & Systems, 2019, v. 50, n. 5, p. 417, doi. 10.1080/01969722.2019.1598677
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- Article
Modeling Multileader–Follower Noncooperative Stackelberg Games.
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- Cybernetics & Systems, 2016, v. 47, n. 8, p. 650, doi. 10.1080/01969722.2016.1232121
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- Article
A Shortest-Path Lyapunov Approach for Forward Decision Processes.
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- International Journal of Computer Games Technology, 2009, p. 1, doi. 10.1155/2009/162450
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- Article
Extremum seeking by a dynamic plant using mixed integral sliding mode controller with synchronous detection gradient estimation.
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- International Journal of Robust & Nonlinear Control, 2019, v. 29, n. 3, p. 702, doi. 10.1002/rnc.4408
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- Article
A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies.
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- 2018
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- Book Chapter
Proximal constrained optimization approach with time penalization.
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- Engineering Optimization, 2019, v. 51, n. 7, p. 1207, doi. 10.1080/0305215X.2018.1519072
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- Article
A Tikhonov regularization parameter approach for solving Lagrange constrained optimization problems.
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- Engineering Optimization, 2018, v. 50, n. 11, p. 1996, doi. 10.1080/0305215X.2017.1418866
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- Article
Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification.
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- Journal of Experimental & Theoretical Artificial Intelligence, 2017, v. 29, n. 1, p. 43, doi. 10.1080/0952813X.2015.1080472
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- Article
Ship differential game approach for multiple players: Stackelberg security games.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 1, p. 312, doi. 10.1002/oca.2544
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- Article
AN ERGODIC AND TRANSIENT MARKOV MODEL FOR PENALTY REGULARISED PORTFOLIO.
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- Economic Computation & Economic Cybernetics Studies & Research, 2023, v. 57, n. 4, p. 275, doi. 10.24818/18423264/57.4.23.17
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- Article
OPTIMAL CONSTRAINED PORTFOLIO ANALYSIS FOR INCOMPLETE INFORMATION AND TRANSACTION COSTS.
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- Economic Computation & Economic Cybernetics Studies & Research, 2022, v. 56, n. 4, p. 107, doi. 10.24818/18423264/56.4.22.07
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- Article
MANIPULATION POWER IN BARGAINING GAMES USING MACHIAVELLIANISM.
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- Economic Computation & Economic Cybernetics Studies & Research, 2021, v. 55, n. 2, p. 299, doi. 10.24818/18423264/55.2.21.18
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- Article
CUSTOMER PORTFOLIO MODEL DRIVEN BY CONTINUOUS-TIME MARKOV CHAINS: AN l<sub>2</sub> LAGRANGIAN REGULARIZATION METHOD.
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- Economic Computation & Economic Cybernetics Studies & Research, 2020, v. 54, n. 2, p. 23, doi. 10.24818/18423264/54.2.20.02
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- Article
MULTIPERIOD MEAN-VARIANCE CUSTOMER CONSTRAINED PORTFOLIO OPTIMIZATION FOR FINITE DISCRETE-TIME MARKOV CHAINS.
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- Economic Computation & Economic Cybernetics Studies & Research, 2019, v. 53, n. 1, p. 39, doi. 10.24818/18423264/53.1.19.03
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- Article
COMPUTING THE TRANSFER PRICING FOR A MULTIDIVISIONAL FIRM BASED ON COOPERATIVE GAMES.
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- Economic Computation & Economic Cybernetics Studies & Research, 2018, v. 52, n. 1, p. 107, doi. 10.24818/18423264/52.1.18.07
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- Article
ANALYZING AN OPTIMISTIC ATTITUDE FOR THE LEADER FIRM IN DUOPOLY MODELS: A STRONG STACKELBERG EQUILIBRIUM BASED ON A LYAPUNOV GAME THEORY APPROACH.
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- Economic Computation & Economic Cybernetics Studies & Research, 2016, v. 50, n. 4, p. 41
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- Article
Computing multiobjective Markov chains handled by the extraproximal method.
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- Annals of Operations Research, 2018, v. 271, n. 2, p. 469, doi. 10.1007/s10479-018-2755-9
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- Article
A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games.
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- Journal of Optimization Theory & Applications, 2021, v. 188, n. 3, p. 847, doi. 10.1007/s10957-021-01812-3
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- Article
Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games.
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- Journal of Optimization Theory & Applications, 2020, v. 186, n. 3, p. 1029, doi. 10.1007/s10957-020-01729-3
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- Article
Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem.
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- Journal of Optimization Theory & Applications, 2018, v. 178, n. 1, p. 304, doi. 10.1007/s10957-018-1301-x
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- Article
Revealing perceived individuals' self-interest.
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- Journal of the Operational Research Society, 2024, v. 75, n. 2, p. 336, doi. 10.1080/01605682.2023.2195878
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- Article
Solving the cost to go with time penalization using the Lagrange optimization approach.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2021, v. 25, n. 6, p. 4191, doi. 10.1007/s00500-020-05556-6
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- Article
Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2019, v. 23, n. 11, p. 3591, doi. 10.1007/s00500-018-3225-7
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- Article
Using the Manhattan distance for computing the multiobjective Markov chains problem.
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- International Journal of Computer Mathematics, 2018, v. 95, n. 11, p. 2269, doi. 10.1080/00207160.2017.1381690
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- Article