Paul J. Werbos

According to our database, Paul J. Werbos authored at least 37 papers between 1978 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S.

Fei-Yue Wang, Ying Tang, Paul J. Werbos

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

2018

AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors.

Paul J. Werbos

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Analog quantum computing (AQC) and the need for time-symmetric physics.

Paul J. Werbos, Ludmila Dolmatova

Quantum Inf. Process., 2016

2015

Stochastic Path Model of Polaroid Polarizer for Bell's Theorem and Triphoton Experiments.

Paul J. Werbos

Int. J. Bifurc. Chaos, 2015

Time-Symmetric Physics: A Radical Approach to the Decoherence Problem.

Paul J. Werbos

CoRR, 2015

Complete stability analysis of a heuristic approximate dynamic programming control design.

Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos

Autom., 2015

2014

From ADP to the brain: Foundations, roadmap, challenges and research priorities.

Paul J. Werbos

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Complete stability analysis of a heuristic ADP control design.

Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos

CoRR, 2013

Fuzziness, Probability, Uncertainty and the Foundations of Knowledge.

Paul J. Werbos

Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 2, 2013

2012

Metamodeling and the Critic-based approach to multi-level optimization.

Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos

Neural Networks, 2012

Neural networks and the experience and cultivation of mind.

Paul J. Werbos

Neural Networks, 2012

2011

Computational Intelligence for the Smart Grid - History, Challenges, and Opportunities.

Paul J. Werbos

IEEE Comput. Intell. Mag., 2011

Metamodeling for large-scale optimization tasks based on object networks.

Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Neural networks as a path to self-awareness.

Paul J. Werbos

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity

Paul J. Werbos

CoRR, 2010

2009

Intelligence in the brain: A theory of how it works and how to build it.

Paul J. Werbos

Neural Networks, 2009

Putting more brain-like intelligence into the electric power grid: What we need and how to do it.

Paul J. Werbos

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence.

Paul J. Werbos

IEEE Trans. Syst. Man Cybern. Part B, 2008

Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.

Roman Ilin, Robert Kozma, Paul J. Werbos

IEEE Trans. Neural Networks, 2008

2006

Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.

Roman Ilin, Robert Kozma, Paul J. Werbos

Proceedings of the International Joint Conference on Neural Networks, 2006

2002

Classical ODE and PDE which Obey Quantum Dynamics.

Paul J. Werbos

Int. J. Bifurc. Chaos, 2002

2001

Reconfigurable flight control via neurodynamic programming and universally stable adaptive control.

Paul J. Werbos

Proceedings of the American Control Conference, 2001

2000

Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations.

Paul J. Werbos

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain.

Paul J. Werbos

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

New designs for universal stability in classical adaptive control and reinforcement learning.

Paul J. Werbos

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Brain-like intelligent control: from neural nets to larger-scale systems.

Paul J. Werbos

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1996

Finding time series among the chaos: stochastics, deseasonalization, and texture-detection using neural nets.

Paul J. Werbos

Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996

1993

Neurocontrol and elastic fuzzy logic: capabilities, concepts, and applications.

Paul J. Werbos

IEEE Trans. Ind. Electron., 1993

Elastic Fuzzy Logic: A Better Fit to Neurocontrol and True Intelligence.

Paul J. Werbos

J. Intell. Fuzzy Syst., 1993

1992

Neurocontrol and fuzzy logic: Connections and designs.

Paul J. Werbos

Int. J. Approx. Reason., 1992

1990

Backpropagation through time: what it does and how to do it.

Paul J. Werbos

Proc. IEEE, 1990

Consistency of HDP applied to a simple reinforcement learning problem.

Paul J. Werbos

Neural Networks, 1990

1989

Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods.

Paul J. Werbos

IEEE Trans. Syst. Man Cybern., 1989

1988

Generalization of backpropagation with application to a recurrent gas market model.

Paul J. Werbos

Neural Networks, 1988

Backpropagation: past and future.

Paul J. Werbos

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1987

Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research.

Paul J. Werbos

IEEE Trans. Syst. Man Cybern., 1987

1978

An Empirical Test of New Forecasting Methods Derived from a Theory of Intelligence: The Prediction of Conflict in Latin America.

Paul J. Werbos, Jim Titus

IEEE Trans. Syst. Man Cybern., 1978