Athanasios Kehagias
Scholar

Athanasios Kehagias

Google Scholar ID: AiqUHA8AAAAJ
Associate Professor, Aristotle University
Applied Mathematicsmathematical modelsprobability theorygame theorypursuit evasion
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
480
 
H-index
12
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Contact
Emailkehagiat@ece.auth.grGitHubOpen ↗
Publications
1 items
Markov Chains of Evolutionary Games with a Small Number of Players
2025
Cited
0
Resume
Academic Achievements
  • Books:
  • - Predictive Modular Neural Networks for Time Series Classification, Prediction and Identification, Kluwer Academic Publishers, 1998
  • - A Family of Multi-valued t-norms and t-conorms, In Computational Intelligence Based on Lattice Theory, Springer, 2007
  • - The Construction of Fuzzy-valued t-norms and t-conorms, In Computational Intelligence Based on Lattice Theory, Springer, 2007
  • - Graph Pursuit Games and New Algorithms for Nash Equilibrium Computation, 2022
  • - Payoff Independent Action Update for Continuous Action Social Dilemmas: a Preliminary Investigation, 2022
  • - Static Nuel Games with Terminal Payoff, 2023
  • - A Study of Self-Referential Systems, Knights and Knaves Using Fuzzy Logic and Global Optimization, 2025
  • Papers:
  • - Optimal Control for Training: the Missing Link between Hidden Markov Models and Connectionist Networks, Mathematical and Computer Modelling, 1990
  • - Convergence Properties of the Lainiotis Partition Algorithm, Control and Computers, 1991
  • - Hidden Markov Random Fields, Annals of Applied Probability, 1995
  • - Efficiency and Optimality in Stochastic Models with Production, Journal of Economic Dynamics and Control, 1995
  • - Modular Neural Networks for MAP Classification of Time Series and the Partition Algorithm, IEEE Trans. on Neural Networks, 1996
  • - A Recurrent Network Implementation of Bayesian Time Series Classification, Neural Computation, 1996
  • - Bayesian Classification of Hidden Markov Models, Mathematical and Computer Modelling, 1996
  • - Predictive Modular Fuzzy Systems for Time Series Classification, IEEE Trans. on Fuzzy Systems, 1997
  • - Time Series Segmentation using Predictive Modular Neural Networks, Neural Computation, 1997
  • - Short Term Load Forecasting using a Bayesian Combination Method, Int. Journal of Electrical Power and Energy Systems, 1997
  • - Predictive Modular Neural Networks for Time Series Classification, Neural Networks, 1997
  • - A Multi-Model Algorithm for Parameter Estimation of Time Varying Nonlinear Systems, Automatica, 1998
  • - A Hybrid Neural-Genetic Multi-Model Parameter Estimation Algorithm, IEEE Transactions in Neural Networks, 1998
  • - A Computer Algebra System and a New Approach for Teaching Business Calculus, Int. Journal of Computer Algebra in Mathematics Education, 2000
  • - On the Refinement of Ontologies, Int. Journal of Intelligent Systems, 2000
  • - Gradient Constitutive Equations, Size Effects and Artificial Neural Networks, Journal of the Mechanical Behavior of Materials, 2001
Background
  • Research Interests: Game Theory, Probability Theory; Profile: Associate Professor, ECE Department