Paul J. Werbos

Publication Activity (10 Years)

Years Active: 1978-2023
Publications (10 Years): 3

Top Topics

Rendezvous Search

Quantum Computing

Social Intelligence

Top Venues

Int. J. Bifurc. Chaos

On Fuzziness (2)

Publications

Fei-Yue Wang, Ying Tang, Paul J. Werbos
Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Paul J. Werbos
AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors. IJCNN (2018)
Paul J. Werbos, Ludmila Dolmatova
Analog quantum computing (AQC) and the need for time-symmetric physics. Quantum Inf. Process. 15 (3) (2016)
Paul J. Werbos
Time-Symmetric Physics: A Radical Approach to the Decoherence Problem. CoRR (2015)
Paul J. Werbos
Stochastic Path Model of Polaroid Polarizer for Bell's Theorem and Triphoton Experiments. Int. J. Bifurc. Chaos 25 (3) (2015)
Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos
Complete stability analysis of a heuristic approximate dynamic programming control design. Autom. 59 (2015)
Paul J. Werbos
From ADP to the brain: Foundations, roadmap, challenges and research priorities. IJCNN (2014)
Paul J. Werbos
From ADP to the Brain: Foundations, Roadmap, Challenges and Research Priorities. CoRR (2014)
Paul J. Werbos
Fuzziness, Probability, Uncertainty and the Foundations of Knowledge. On Fuzziness (2) (2013)
Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos
Complete stability analysis of a heuristic ADP control design. CoRR (2013)
Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks 32 (2012)
Paul J. Werbos
Neural networks and the experience and cultivation of mind. Neural Networks 32 (2012)
Paul J. Werbos
Neural networks as a path to self-awareness. IJCNN (2011)
Paul J. Werbos
Computational Intelligence for the Smart Grid - History, Challenges, and Opportunities. IEEE Comput. Intell. Mag. 6 (3) (2011)
Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
Metamodeling for large-scale optimization tasks based on object networks. IJCNN (2011)
Paul J. Werbos
Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity CoRR (2010)
Paul J. Werbos
Putting more brain-like intelligence into the electric power grid: What we need and how to do it. IJCNN (2009)
Paul J. Werbos
Intelligence in the brain: A theory of how it works and how to build it. Neural Networks 22 (3) (2009)
Roman Ilin, Robert Kozma, Paul J. Werbos
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks 19 (6) (2008)
Paul J. Werbos
Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence. IEEE Trans. Syst. Man Cybern. Part B 38 (4) (2008)
Roman Ilin, Robert Kozma, Paul J. Werbos
Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator CoRR (2007)
Roman Ilin, Robert Kozma, Paul J. Werbos
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN (2006)
Paul J. Werbos
Classical ODE and PDE which Obey Quantum Dynamics. Int. J. Bifurc. Chaos 12 (10) (2002)
Paul J. Werbos
Reconfigurable flight control via neurodynamic programming and universally stable adaptive control. ACC (2001)
Paul J. Werbos
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations. IJCNN (4) (2000)
Paul J. Werbos
New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain. IJCNN (3) (2000)
Paul J. Werbos
New designs for universal stability in classical adaptive control and reinforcement learning. IJCNN (1999)
Paul J. Werbos
Brain-like intelligent control: from neural nets to larger-scale systems. ESANN (1998)
Paul J. Werbos
Finding time series among the chaos: stochastics, deseasonalization, and texture-detection using neural nets. CIFEr (1996)
Paul J. Werbos
Elastic Fuzzy Logic: A Better Fit to Neurocontrol and True Intelligence. J. Intell. Fuzzy Syst. 1 (4) (1993)
Paul J. Werbos
Neurocontrol and elastic fuzzy logic: capabilities, concepts, and applications. IEEE Trans. Ind. Electron. 40 (2) (1993)
Paul J. Werbos
Neurocontrol and fuzzy logic: Connections and designs. Int. J. Approx. Reason. 6 (2) (1992)
Paul J. Werbos
Backpropagation through time: what it does and how to do it. Proc. IEEE 78 (10) (1990)
Paul J. Werbos
Consistency of HDP applied to a simple reinforcement learning problem. Neural Networks 3 (2) (1990)
Paul J. Werbos
Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods. IEEE Trans. Syst. Man Cybern. 19 (2) (1989)
Paul J. Werbos
Generalization of backpropagation with application to a recurrent gas market model. Neural Networks 1 (4) (1988)
Paul J. Werbos
Backpropagation: past and future. ICNN (1988)
Paul J. Werbos
Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research. IEEE Trans. Syst. Man Cybern. 17 (1) (1987)
Paul J. Werbos, Jim Titus
An Empirical Test of New Forecasting Methods Derived from a Theory of Intelligence: The Prediction of Conflict in Latin America. IEEE Trans. Syst. Man Cybern. 8 (9) (1978)