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)

Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research. - Paul J. Werbos (IEEE Trans. Syst. Man Cybern., 1987)

Backpropagation: past and future. - Paul J. Werbos (ICNN, 1988)

Generalization of backpropagation with application to a recurrent gas market model. - Paul J. Werbos (Neural Networks, 1988)

Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods. - Paul J. Werbos (IEEE Trans. Syst. Man Cybern., 1989)

Consistency of HDP applied to a simple reinforcement learning problem. - Paul J. Werbos (Neural Networks, 1990)

Backpropagation through time: what it does and how to do it. - Paul J. Werbos (Proc. IEEE, 1990)

Neurocontrol and fuzzy logic: Connections and designs. - Paul J. Werbos (Int. J. Approx. Reason., 1992)

Elastic Fuzzy Logic: A Better Fit to Neurocontrol and True Intelligence. - Paul J. Werbos (J. Intell. Fuzzy Syst., 1993)

Neurocontrol and elastic fuzzy logic: capabilities, concepts, and applications. - Paul J. Werbos (IEEE Trans. Ind. Electron., 1993)

Finding time series among the chaos: stochastics, deseasonalization, and texture-detection using neural nets. - Paul J. Werbos (CIFEr, 1996)

Brain-like intelligent control: from neural nets to larger-scale systems. - Paul J. Werbos (ESANN, 1998)

New designs for universal stability in classical adaptive control and reinforcement learning. - Paul J. Werbos (IJCNN, 1999)

New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain. - Paul J. Werbos (IJCNN (3), 2000)

Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations. - Paul J. Werbos (IJCNN (4), 2000)

Reconfigurable flight control via neurodynamic programming and universally stable adaptive control. - Paul J. Werbos (ACC, 2001)

Classical ODE and PDE which Obey Quantum Dynamics. - Paul J. Werbos (Int. J. Bifurc. Chaos, 2002)

Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. - Roman Ilin; Robert Kozma 001; Paul J. Werbos (IJCNN, 2006)

Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. - Roman Ilin; Robert Kozma 001; Paul J. Werbos (IEEE Trans. Neural Networks, 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)

Putting more brain-like intelligence into the electric power grid: What we need and how to do it. - Paul J. Werbos (IJCNN, 2009)

Intelligence in the brain: A theory of how it works and how to build it. - Paul J. Werbos (Neural Networks, 2009)

Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity - Paul J. Werbos (CoRR, 2010)

Neural networks as a path to self-awareness. - Paul J. Werbos (IJCNN, 2011)

Metamodeling for large-scale optimization tasks based on object networks. - Ludmilla Werbos; Robert Kozma 001; Rodrigo Silva-Lugo; Giovanni Egidio Pazienza; Paul J. Werbos (IJCNN, 2011)

Computational Intelligence for the Smart Grid - History, Challenges, and Opportunities. - Paul J. Werbos (IEEE Comput. Intell. Mag., 2011)

Neural networks and the experience and cultivation of mind. - Paul J. Werbos (Neural Networks, 2012)

Metamodeling and the Critic-based approach to multi-level optimization. - Ludmilla Werbos; Robert Kozma 001; Rodrigo Silva-Lugo; Giovanni Egidio Pazienza; Paul J. Werbos (Neural Networks, 2012)

Fuzziness, Probability, Uncertainty and the Foundations of Knowledge. - Paul J. Werbos (On Fuzziness (2), 2013)

Complete stability analysis of a heuristic ADP control design. - Yury Sokolov; Robert Kozma 001; Ludmilla Werbos; Paul J. Werbos (CoRR, 2013)

From ADP to the brain: Foundations, roadmap, challenges and research priorities. - Paul J. Werbos (IJCNN, 2014)

Complete stability analysis of a heuristic approximate dynamic programming control design. - Yury Sokolov; Robert Kozma 001; Ludmilla D. Werbos; Paul J. Werbos (Autom., 2015)

Time-Symmetric Physics: A Radical Approach to the Decoherence Problem. - Paul J. Werbos (CoRR, 2015)

Stochastic Path Model of Polaroid Polarizer for Bell's Theorem and Triphoton Experiments. - Paul J. Werbos (Int. J. Bifurc. Chaos, 2015)

Analog quantum computing (AQC) and the need for time-symmetric physics. - Paul J. Werbos; Ludmila Dolmatova (Quantum Inf. Process., 2016)

AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors. - Paul J. Werbos (IJCNN, 2018)

Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S. - Fei-Yue Wang 001; Ying Tang 001; Paul J. Werbos (IEEE Trans. Syst. Man Cybern. Syst., 2023)