Decision Process Petri Nets: Analysis and Optimization. - Zvi Retchkiman Königsberg; Julio B. Clempner (Neural Parallel Sci. Comput., 2005)

A Shortest-Path Lyapunov Approach for Forward Decision Processes. - Julio B. Clempner (Int. J. Comput. Games Technol., 2009)

A hierarchical decomposition of decision process Petri nets for modeling complex systems. - Julio B. Clempner (Int. J. Appl. Math. Comput. Sci., 2010)

A Pattern Model for Assessing Work Competencies Using Petri Nets. - Julio B. Clempner (Int. J. Comput. Sci. Appl., 2010)

Convergence method, properties and computational complexity for Lyapunov games. - Julio B. Clempner; Alexander S. Poznyak (Int. J. Appl. Math. Comput. Sci., 2011)

Analysis of best-reply strategies in repeated finite Markov chains games. - Julio B. Clempner; Alexander S. Poznyak (CDC, 2013)

An analytical method for well-formed workflow/Petri net verification of classical soundness. - Julio B. Clempner (Int. J. Appl. Math. Comput. Sci., 2014)

Verifying soundness of business processes: A decision process Petri nets approach. - Julio B. Clempner (Expert Syst. Appl., 2014)

Solving the multi-traffic signal-control problem for a class of continuous-time markov games. - Rodrigo G. Castillo; Julio B. Clempner; Alexander S. Poznyak (CCE, 2015)

Computing the Lp-strong nash equilibrium looking for cooperative stability in multiple agents markov games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (CCE, 2015)

Computing the strong Nash equilibrium for Markov chains games. - Julio B. Clempner; Alexander S. Poznyak (Appl. Math. Comput., 2015)

Computing the Stackelberg/Nash Equilibria Using the Extraproximal Method: Convergence Analysis and Implementation Details for Markov Chains Games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (Int. J. Appl. Math. Comput. Sci., 2015)

Modeling the multi-traffic signal-control synchronization: A Markov chains game theory approach. - Julio B. Clempner; Alexander S. Poznyak (Eng. Appl. Artif. Intell., 2015)

A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns. - Emma M. Sánchez; Julio B. Clempner; Alexander S. Poznyak (Eng. Appl. Artif. Intell., 2015)

A Stackelberg security game with random strategies based on the extraproximal theoretic approach. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (Eng. Appl. Artif. Intell., 2015)

Stackelberg security games: Computing the shortest-path equilibrium. - Julio B. Clempner; Alexander S. Poznyak (Expert Syst. Appl., 2015)

Solving the mean-variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach. - Emma M. Sánchez; Julio B. Clempner; Alexander S. Poznyak (Expert Syst. Appl., 2015)

Setting Cournot Versus Lyapunov Games Stability Conditions and Equilibrium Point Properties. - Julio B. Clempner (IGTR, 2015)

Adapting strategies to dynamic environments in controllable stackelberg security games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (CDC, 2016)

Conforming coalitions in Markov Stackelberg security games: Setting max cooperative defenders vs. non-cooperative attackers. - Julio B. Clempner; Alexander S. Poznyak (Appl. Soft Comput., 2016)

Necessary and sufficient Karush-Kuhn-Tucker conditions for multiobjective Markov chains optimality. - Julio B. Clempner (Autom., 2016)

Modeling Multileader-Follower Noncooperative Stackelberg Games. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (Cybern. Syst., 2016)

Convergence analysis for pure stationary strategies in repeated potential games: Nash, Lyapunov and correlated equilibria. - Julio B. Clempner; Alexander S. Poznyak (Expert Syst. Appl., 2016)

An optimal strong equilibrium solution for cooperative multi-leader-follower Stackelberg Markov chains games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (Kybernetika, 2016)

Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method. - Julio B. Clempner; Alexander S. Poznyak (Math. Comput. Simul., 2016)

An iterative method for solving stackelberg security games: A Markov games approach. - Daniel Guerrero; Alin A. Carsteanu; Rocio Huerta; Julio B. Clempner (CCE, 2017)

Negotiating transfer pricing using the Nash bargaining solution. - Julio B. Clempner; Alexander S. Poznyak (Int. J. Appl. Math. Comput. Sci., 2017)

Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making. - Julio B. Clempner; Alexander S. Poznyak (Expert Syst. Appl., 2017)

A Game Theory Model for Manipulation Based on Machiavellianism: Moral and Ethical Behavior. - Julio B. Clempner (J. Artif. Soc. Soc. Simul., 2017)

Classical workflow nets and workflow nets with reset arcs: using Lyapunov stability for soundness verification. - Julio B. Clempner (J. Exp. Theor. Artif. Intell., 2017)

Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games. - Julio B. Clempner; Alexander S. Poznyak (Math. Comput. Simul., 2017)

Fast Terminal Sliding-Mode Control With an Integral Filter Applied to a Van Der Pol Oscillator. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (IEEE Trans. Ind. Electron., 2017)

Continuous-Time Extremum Seeking with Function Measurements Disturbed by Stochastic Noise: A Synchronous Detection Approach. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (CCE, 2018)

Constrained Extremum Seeking with Function Measurements Disturbed by Stochastic Noise. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (CCE, 2018)

Computing multiobjective Markov chains handled by the extraproximal method. - Julio B. Clempner (Ann. Oper. Res., 2018)

Solving Stackelberg security Markov games employing the bargaining Nash approach: Convergence analysis. - Daniel Guerrero; Alin A. Carsteanu; Julio B. Clempner (Comput. Secur., 2018)

Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning. - Mireya Salgado; Julio B. Clempner (Expert Syst. Appl., 2018)

On Lyapunov Game Theory Equilibrium: Static and Dynamic Approaches. - Julio B. Clempner (IGTR, 2018)

A Reinforcement Learning Approach for Solving the Mean Variance Customer Portfolio in Partially Observable Models. - Erick Asiain; Julio B. Clempner; Alexander S. Poznyak (Int. J. Artif. Intell. Tools, 2018)

Using the Manhattan distance for computing the multiobjective Markov chains problem. - Julio B. Clempner; Alexander S. Poznyak (Int. J. Comput. Math., 2018)

A continuous-time Markov Stackelberg security game approach for reasoning about real patrol strategies. - Julio B. Clempner (Int. J. Control, 2018)

A Tikhonov regularized penalty function approach for solving polylinear programming problems. - Julio B. Clempner; Alexander S. Poznyak (J. Comput. Appl. Math., 2018)

Adapting attackers and defenders patrolling strategies: A reinforcement learning approach for Stackelberg security games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (J. Comput. Syst. Sci., 2018)

Strategic Manipulation Approach for Solving Negotiated Transfer Pricing Problem. - Julio B. Clempner (J. Optim. Theory Appl., 2018)

DC Motor Control based on Robust run-time Optimization Algorithm. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (CCE, 2019)

Robust Extremum Seeking for a Second Order Uncertain Plant Using a Sliding Mode Controller. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (Int. J. Appl. Math. Comput. Sci., 2019)

Observer and control design in partially observable finite Markov chains. - Julio B. Clempner; Alexander S. Poznyak (Autom., 2019)

A team formation method based on a Markov chains games approach. - Julio B. Clempner (Cybern. Syst., 2019)

A Stackelberg security Markov game based on partial information for strategic decision making against unexpected attacks. - Silvia E. Albarran; Julio B. Clempner (Eng. Appl. Artif. Intell., 2019)

Continuous-time reinforcement learning approach for portfolio management with time penalization. - Mauricio García-Galicia; Alin A. Carsteanu; Julio B. Clempner (Expert Syst. Appl., 2019)

Continuous-time mean variance portfolio with transaction costs: a proximal approach involving time penalization. - Mauricio García-Galicia; Alin A. Carsteanu; Julio B. Clempner (Int. J. Gen. Syst., 2019)

Continuous-time gradient-like descent algorithm for constrained convex unknown functions: Penalty method application. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (J. Comput. Appl. Math., 2019)

Handling a Kullback-Leibler divergence random walk for scheduling effective patrol strategies in Stackelberg security games. - César U. S. Solis; Julio B. Clempner; Alexander S. Poznyak (Kybernetika, 2019)

Solving traffic queues at controlled-signalized intersections in continuous-time Markov games. - Rodrigo Castillo González; Julio B. Clempner; Alexander S. Poznyak (Math. Comput. Simul., 2019)

Controller exploitation-exploration reinforcement learning architecture for computing near-optimal policies. - Erick Asiain; Julio B. Clempner; Alexander S. Poznyak (Soft Comput., 2019)

Computing the Nash Bargaining Solution for Multiple Players in Discrete-Time Markov Chains Games. - Kristal K. Trejo; Julio B. Clempner; Alexander S. Poznyak (Cybern. Syst., 2020)

Shaping Emotions in Negotiation: a Nash Bargaining Solution. - Julio B. Clempner (Cogn. Comput., 2020)

Traffic-signal control reinforcement learning approach for continuous-time Markov games. - Román Aragon-Gómez; Julio B. Clempner (Eng. Appl. Artif. Intell., 2020)

A nucleus for Bayesian Partially Observable Markov Games: Joint observer and mechanism design. - Julio B. Clempner; Alexander S. Poznyak (Eng. Appl. Artif. Intell., 2020)

Finding the Strong Nash Equilibrium: Computation, Existence and Characterization for Markov Games. - Julio B. Clempner; Alexander S. Poznyak (J. Optim. Theory Appl., 2020)

Repeated Stackelberg security games: Learning with incomplete state information. - Guillermo Alcantara-Jiménez; Julio B. Clempner (Reliab. Eng. Syst. Saf., 2020)

A Markovian Stackelberg game approach for computing an optimal dynamic mechanism. - Julio B. Clempner (Comput. Appl. Math., 2021)

Robust integral sliding mode controller for optimisation of measurable cost functions with constraints. - Cesar U. Solis; Julio B. Clempner; Alexander S. Poznyak (Int. J. Control, 2021)

A Proximal/Gradient Approach for Computing the Nash Equilibrium in Controllable Markov Games. - Julio B. Clempner (J. Optim. Theory Appl., 2021)

Solving the cost to go with time penalization using the Lagrange optimization approach. - Julio B. Clempner (Soft Comput., 2021)

Learning machiavellian strategies for manipulation in Stackelberg security games. - Julio B. Clempner (Ann. Math. Artif. Intell., 2022)

Reveling misleading information for defenders and attackers in repeated Stackelberg Security Games. - Julio B. Clempner (Eng. Appl. Artif. Intell., 2022)

A Manipulation Game Based on Machiavellian Strategies. - Julio B. Clempner (IGTR, 2022)

Algorithmic-gradient approach for the Price of Anarchy and Stability for incomplete information. - Julio B. Clempner (J. Comput. Sci., 2022)

A Lyapunov approach for stable reinforcement learning. - Julio B. Clempner (Comput. Appl. Math., 2022)

Computing a mechanism for a Bayesian and partially observable Markov approach. - Julio B. Clempner; Alexander S. Poznyak (Int. J. Appl. Math. Comput. Sci., 2023)

A tri-level approach for computing Stackelberg Markov game equilibrium: Computational analysis. - Julio B. Clempner (J. Comput. Sci., 2023)

Computing fortification games in a tri-level Stackelberg Markov chains approach. - Julio B. Clempner (Eng. Appl. Artif. Intell., 2023)

A Bayesian reinforcement learning approach in markov games for computing near-optimal policies. - Julio B. Clempner (Ann. Math. Artif. Intell., 2023)

Optimization and Games for Controllable Markov Chains - Numerical Methods with Application to Finance and Engineering - Julio B. Clempner; Alexander S. Poznyak (Springer, 2024)

Revealing perceived individuals' self-interest. - Julio B. Clempner (J. Oper. Res. Soc., 2024)

Learning attack-defense response in continuous-time discrete-states Stackelberg Security Markov games. - Julio B. Clempner (J. Exp. Theor. Artif. Intell., 2024)