An Appraisal of Some Shortest-Path Algorithms. - Stuart E. Dreyfus (Oper. Res., 1969)

The steiner problem in graphs. - Stuart E. Dreyfus; Robert A. Wagner (Networks, 1971)

Expert Systems: How Far Can They Go? - Terry Winograd; Randall Davis; Stuart Dreyfus; Brian Cantwell Smith (IJCAI, 1985)

Why Expert Systems Do Not Exhibit Expertise. - Hubert L. Dreyfus; Stuart E. Dreyfus (IEEE Expert, 1986)

Competent systems: The only future for inference-making computers. - Hubert L. Dreyfus; Stuart E. Dreyfus (Future Gener. Comput. Syst., 1986)

Mind over machine - the power of human intuition and expertise in the era of the computer. - Hubert L. Dreyfus; Stuart E. Dreyfus (Free Press, 1988)

Psychology, Philosophy, and Artificial Neural Nets. - Stuart E. Dreyfus (COMPCON, 1988)

Expert Human Beings, Competent Systems, and Competent Neural Networks. - Stuart Dreyfus (Wissensbasierte Systeme, 1989)

Making a Mind Versus Modelling the Brain. - Hubert L. Dreyfus; Stuart E. Dreyfus (The Philosophy of Artificial Intelligence, 1990)

What Artificial Experts Can and Cannot Do. - Hubert L. Dreyfus; Stuart E. Dreyfus (AI Soc., 1992)

Making a Mind vs. Modeling the Brain: AI Back at a Branchpoint. - Hubert L. Dreyfus; Stuart E. Dreyfus (Informatica (Slovenia), 1995)

On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application. - Eiji Mizutani; Stuart E. Dreyfus; Kenichi Nishio (IJCNN (2), 2000)

Richard Bellman on the Birth of Dynamic Programming. - Stuart Dreyfus (Oper. Res., 2002)

On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains. - Eiji Mizutani; Stuart E. Dreyfus (CIRA, 2003)

Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings. - Eiji Mizutani; Stuart E. Dreyfus (IJCNN, 2004)

Stagewise Newton, differential dynamic programming, and neighboring optimum control for neural-network learning. - Eiji Mizutani; Stuart E. Dreyfus (ACC, 2005)

Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix. - Eiji Mizutani; Stuart E. Dreyfus; James Weldon Demmel (IJCNN, 2005)

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning. - Eiji Mizutani; Stuart Dreyfus (IJCNN, 2006)

On practical use of stagewise second-order backpropagation for multi-stage neural-network learning. - Eiji Mizutani; Stuart Dreyfus (IJCNN, 2007)

Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. - Eiji Mizutani; Stuart E. Dreyfus (Neural Networks, 2008)

Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203] - Eiji Mizutani; Stuart E. Dreyfus (Neural Networks, 2008)

An analysis on negative curvature induced by singularity in multi-layer neural-network learning. - Eiji Mizutani; Stuart Dreyfus (NIPS, 2010)

Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains. - Eiji Mizutani; Stuart E. Dreyfus (Ann. Oper. Res., 2017)

On using dynamic programming for time warping in pattern recognition. - Eiji Mizutani; Stuart Dreyfus (Inf. Sci., 2021)

A tutorial on the art of dynamic programming for some issues concerning Bellman's principle of optimality. - Eiji Mizutani; Stuart Dreyfus (ICT Express, 2023)