Machine Reconstruction of Human Control Strategies

Complex dynamic systems are usually controlled by operators who's skill is sub-cognitive. Therefore, to reconstruct human control skill involves machine learning from operator's execution traces, to induce a model of the operator's skill.

[1]  Alex M. Andrew,et al.  ROBOT LEARNING, edited by Jonathan H. Connell and Sridhar Mahadevan, Kluwer, Boston, 1993/1997, xii+240 pp., ISBN 0-7923-9365-1 (Hardback, 218.00 Guilders, $120.00, £89.95). , 1999, Robotica (Cambridge. Print).

[2]  Claude Sammut,et al.  Automatic construction of reactive control systems using symbolic machine learning , 1996, The Knowledge Engineering Review.

[3]  Preben Alstrøm,et al.  Learning to Drive a Bicycle Using Reinforcement Learning and Shaping , 1998, ICML.

[4]  Brian C. Williams,et al.  Interaction-Based Invention: Designing Novel Devices from First Principles , 1990, AAAI.

[5]  B W Koehn,et al.  Experimenting and theorizing in theory formation , 1986, ISMIS '86.

[6]  Roger M. Kerr,et al.  Interactive Reactive Scheduling by Human Learning and Machine Induction , 1994 .

[7]  Rui Camacho,et al.  Inducing Models of human Control Skills , 1998, ECML.

[8]  Ivan Bratko,et al.  Skill Reconstruction as Induction of LQ Controllers with Subgoals , 1997, IJCAI.

[9]  Gene F. Franklin,et al.  Feedback Control of Dynamic Systems , 1986 .

[10]  Dimitri P. Bertsekas,et al.  Dynamic Programming: Deterministic and Stochastic Models , 1987 .

[11]  A. Hasman Kardio. A study in deep and qualitative knowledge for expert systems , 1991 .

[12]  Ivan Bratko,et al.  Reconstructing Human Skill with Machine Learning , 1994, ECAI.

[13]  R. Doyle Hypothesizing Device Mechanisms: Opening Up the Black Box , 1988 .

[14]  Gerald DeJong,et al.  Learning to Ride a Bicycle using Iterated Phantom Induction , 1999, ICML.

[15]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[16]  Ivan Bratko,et al.  Modelling of control skill by qualitative constraints , 2003 .

[17]  W. Cleveland Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .

[18]  David W. Aha,et al.  Instance-Based Learning Algorithms , 1991, Machine Learning.

[19]  Benjamin Kuipers,et al.  The composition and validation of heterogeneous control laws , 1994, Autom..

[20]  S. King Learning to fly. , 1998, Nursing Times.

[21]  Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .

[22]  Donald Michie,et al.  Knowledge, Learning and Machine Intelligence , 1993 .

[23]  J. M. Renders,et al.  GENETIC ALGORITHMS FOR PROCESS CONTROL: A SURVEY , 1992 .

[24]  Kenneth D. Forbus Qualitative Process Theory , 1984, Artificial Intelligence.

[25]  Gerald DeJong,et al.  A Case Study of Explanation-Based Control , 1995, ICML.

[26]  Saso Dzeroski,et al.  Discovering Dynamics , 1993, ICML.

[27]  Richard S. Sutton,et al.  Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming , 1990, ML.

[28]  S. Schaal,et al.  Robot juggling: implementation of memory-based learning , 1994, IEEE Control Systems.

[29]  Peter J. Gawthrop,et al.  Neural networks for control systems - A survey , 1992, Autom..

[30]  Ivan Bratko,et al.  Control Skill, Machine Learning and Hand-crafting in Controller Design , 1995, Machine Intelligence 15.

[31]  Donald Michie,et al.  Man-Machine Co-operation on a Learning Task , 1969 .

[32]  Scott A. Bortoff,et al.  Pseudolinearization Using Spline Functions with Application to the Acrobot , 1992 .

[33]  Gary Boone,et al.  Efficient reinforcement learning: model-based Acrobot control , 1997, Proceedings of International Conference on Robotics and Automation.

[34]  Donald Michie,et al.  Cognitive models from subcognitive skills , 1990 .

[35]  Ivan Bratko,et al.  Deriving qualitative control for dynamic systems , 1996, Machine Intelligence 14.

[36]  Ivan Bratko,et al.  Skill Modelling Through Symbolic Reconstruction of Operator's Trajectories , 1997 .

[37]  Ivan Bratko,et al.  Symbolic and qualitative reconstruction of control skill , 1999, Electronic Transactions on Artifical Intelligence.

[38]  Rui Camacho Using Machine Learning to extract Models of human control skills , 1995 .

[39]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[40]  A. Makarovic A qualitative way of solving the pole balancing problem , 1991 .

[41]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[42]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[43]  Richard S. Sutton,et al.  Generalization in ReinforcementLearning : Successful Examples UsingSparse Coarse , 1996 .

[44]  Brian Falkenhainer,et al.  Integrating quantitative and qualitative discovery: The ABACUS system , 2004, Machine Learning.

[45]  Stan Matwin,et al.  Using Qualitative Models to Guide Inductive Learning , 1993, ICML.

[46]  Benjamin Kuipers,et al.  Automatic Abduction of Qualitative Models , 1992, AAAI.

[47]  Tanja Urbancic,et al.  Genetic algorithms in controller design and tuning , 1993, IEEE Trans. Syst. Man Cybern..

[48]  Gerald DeJong,et al.  Learning to Plan in Continuous Domains , 1994, Artif. Intell..

[49]  Andrew W. Moore,et al.  Locally Weighted Learning for Control , 1997, Artificial Intelligence Review.

[50]  Claude Sammut,et al.  A Framework for Behavioural Cloning , 1995, Machine Intelligence 15.

[51]  Ronald L. Rivest,et al.  Inferring Decision Trees Using the Minimum Description Length Principle , 1989, Inf. Comput..

[52]  David L. Waltz,et al.  Toward memory-based reasoning , 1986, CACM.

[53]  Brian Falkenhainer,et al.  Self-Explanatory Simulations: An Integration of Qualitative and Quantitative Knowledge , 1990, AAAI.

[54]  W. Leech A rule-based process control method with feedback. , 1987, ISA transactions.

[55]  Andrew W. Moore,et al.  Locally Weighted Learning , 1997, Artificial Intelligence Review.

[56]  Enrico W. Coiera,et al.  Learning Qualitative Models of Dynamic Systems , 2004, Machine Learning.

[57]  Benjamin Kuipers,et al.  Qualitative Simulation , 1986, Artificial Intelligence.

[58]  Herbert A. Simon,et al.  Scientific discovery: compulalional explorations of the creative process , 1987 .

[59]  J. Rissanen,et al.  Modeling By Shortest Data Description* , 1978, Autom..

[60]  Mark W. Spong,et al.  Swing up control of the Acrobot , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.