A strategic decision-making architecture toward hybrid teams for dynamic competitive problems

[1]  Bart Baesens,et al.  Autoencoders for strategic decision support , 2020, Decis. Support Syst..

[2]  Juliana Sutanto,et al.  If erring is human, is system use divine? Omission errors during post-adoptive system use , 2020, Decis. Support Syst..

[3]  Christopher McComb,et al.  A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration , 2019, Volume 7: 31st International Conference on Design Theory and Methodology.

[4]  Wojciech M. Czarnecki,et al.  Grandmaster level in StarCraft II using multi-agent reinforcement learning , 2019, Nature.

[5]  William H. DeLone,et al.  Two decades of research on business intelligence system adoption, utilization and success - A systematic literature review , 2019, Decis. Support Syst..

[6]  Demis Hassabis,et al.  A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play , 2018, Science.

[7]  Paul T. Grogan,et al.  Operational and Strategic Decisions in Engineering Design Games , 2018, DAC 2018.

[8]  Norbert Gronau,et al.  A decision maxim for efficient task realization within analytical network infrastructures , 2018, Decis. Support Syst..

[9]  Nancy J. Cooke,et al.  Teaming With a Synthetic Teammate: Insights into Human-Autonomy Teaming , 2018, Hum. Factors.

[10]  Michael A. Rupp,et al.  Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management , 2016, Hum. Factors.

[11]  Fei Gao,et al.  Designing for Robust and Effective Teamwork in Human-Agent Teams , 2016 .

[12]  Christopher McComb,et al.  Lifting the Veil: Drawing insights about design teams from a cognitively-inspired computational model , 2015 .

[13]  Jessie Y. C. Chen,et al.  Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues , 2014, IEEE Transactions on Human-Machine Systems.

[14]  K. Wiesner,et al.  What is a complex system? , 2012, European Journal for Philosophy of Science.

[15]  Joaquim R. R. A. Martins,et al.  Multidisciplinary design optimization: A survey of architectures , 2013 .

[16]  Michèle Sebag,et al.  The grand challenge of computer Go , 2012, Commun. ACM.

[17]  Simon M. Lucas,et al.  A Survey of Monte Carlo Tree Search Methods , 2012, IEEE Transactions on Computational Intelligence and AI in Games.

[18]  Joost C. F. de Winter,et al.  Why the Fitts list has persisted throughout the history of function allocation , 2011, Cognition, Technology & Work.

[19]  Jessie Y. C. Chen,et al.  A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction , 2011, Hum. Factors.

[20]  Huaguang Zhang,et al.  An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games , 2011, Autom..

[21]  Hae-Sang Park,et al.  A simple and fast algorithm for K-medoids clustering , 2009, Expert Syst. Appl..

[22]  Genshe Chen,et al.  Game-theoretic modeling and control of military operations with partially emotional civilian players , 2008, Decis. Support Syst..

[23]  Keith W. Hipel,et al.  The Future of Systems, Man, and Cybernetics: Application Domains and Research Methods , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[24]  Panos Y. Papalambros,et al.  Optimal Partitioning and Coordination Decisions in Decomposition-Based Design , 2007, DAC 2007.

[25]  T. Warren Liao,et al.  Clustering of time series data - a survey , 2005, Pattern Recognit..

[26]  Michael N. Vrahatis,et al.  Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.

[27]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[28]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[29]  Panos Y. Papalambros,et al.  Hierarchical Decomposition Synthesis in Optimal Systems Design , 1996, DAC 1996.

[30]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[31]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[32]  Patrick T. Harker,et al.  A variational inequality approach for the determination of oligopolistic market equilibrium , 1984, Math. Program..

[33]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[34]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[35]  Pierre Bernhard,et al.  Linear-quadratic, two-person, zero-sum differential games: Necessary and sufficient conditions , 1979 .