Bounded Rationality in Learning, Perception, Decision-Making, and Stochastic Games

[1]  Tai Sing Lee,et al.  Hierarchical Bayesian inference in the visual cortex. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[2]  Panagiotis Tsiotras,et al.  Reduced complexity multi-scale path-planning on probabilistic maps , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[3]  T. Başar,et al.  Dynamic Noncooperative Game Theory, 2nd Edition , 1998 .

[4]  Jason Yosinski,et al.  Deep neural networks are easily fooled: High confidence predictions for unrecognizable images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Alan A. Stocker,et al.  Human Decision-Making under Limited Time , 2016, NIPS.

[6]  R. Aumann Subjectivity and Correlation in Randomized Strategies , 1974 .

[7]  W. Willman Formal solutions for a class of stochastic pursuit-evasion games , 1968 .

[8]  Naftali Tishby,et al.  The information bottleneck method , 2000, ArXiv.

[9]  D. Kahneman,et al.  Heuristics and Biases: List of Contributors , 2002 .

[10]  Robert Ivor John,et al.  Computing Nash Equilibria and Evolutionarily Stable States of Evolutionary Games , 2016, IEEE Transactions on Evolutionary Computation.

[11]  T Basar,et al.  Dynamic noncooperative game theory. 2nd ed. (Classics in applied mathematics 23) , 1999 .

[12]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[13]  J.P. Hespanha,et al.  Multiple-agent probabilistic pursuit-evasion games , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[14]  James M. Rehg,et al.  Multi-scale perception and path planning on probabilistic obstacle maps , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[15]  Barton L. Lipman Information Processing and Bounded Rationality: A Survey , 1995 .

[16]  Charles H. Bennett,et al.  The thermodynamics of computation—a review , 1982 .

[17]  Sven Behnke,et al.  Local Multiresolution Path Planning , 2003, RoboCup.

[18]  Karl J. Friston,et al.  Attention, Uncertainty, and Free-Energy , 2010, Front. Hum. Neurosci..

[19]  Jianhua Lin,et al.  Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.

[20]  Nathan Michael,et al.  Environment model adaptation for mobile robot exploration , 2017, Autonomous Robots.

[21]  Y. Ho,et al.  Differential games and optimal pursuit-evasion strategies , 1965 .

[22]  Eitan Zemel,et al.  Nash and correlated equilibria: Some complexity considerations , 1989 .

[23]  Pierre Baldi,et al.  Bayesian surprise attracts human attention , 2005, Vision Research.

[24]  Colin Camerer,et al.  A Cognitive Hierarchy Model of Games , 2004 .

[25]  Panagiotis Tsiotras,et al.  Hierarchical motion planning with kinodynamic feasibility guarantees: Local trajectory planning via model predictive control , 2012, 2012 IEEE International Conference on Robotics and Automation.

[26]  Naftali Tishby,et al.  Trading Value and Information in MDPs , 2012 .

[27]  Stefan Schaal,et al.  Path integral control and bounded rationality , 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

[28]  A. V. Balakrishnan,et al.  Stochastic differential systems , 1973 .

[29]  João Pedro Hespanha,et al.  On Discrete-Time Pursuit-Evasion Games With Sensing Limitations , 2008, IEEE Transactions on Robotics.

[30]  Anthony J. G. Hey,et al.  Feynman Lectures on Computation , 1996 .

[31]  Scott T. Grafton,et al.  Evidence for a distributed hierarchy of action representation in the brain. , 2007, Human movement science.

[32]  Daniel A. Braun,et al.  Information, Utility and Bounded Rationality , 2011, AGI.

[33]  A. Wierzbicki A Mathematical Basis for Satisficing Decision Making , 1982 .

[34]  Dietmar Heinke,et al.  Attention and Spatial Resolution: A Theoretical and Experimental Study of Visual Search in Hierarchical Patterns , 2007, Perception.

[35]  Y. Ho,et al.  On a class of linear stochastic differential games , 1968 .

[36]  David J. Schwab,et al.  The Deterministic Information Bottleneck , 2015, Neural Computation.

[37]  Ivan Bodis-Wollner,et al.  Pre-Emptive Perception , 2008, Perception.

[38]  J. Shinar,et al.  Three-dimensional optimal pursuit and evasion with bounded controls , 1980 .

[39]  Naftali Tishby,et al.  Agglomerative Information Bottleneck , 1999, NIPS.

[40]  Raymond J. Dolan,et al.  Game Theory of Mind , 2008, PLoS Comput. Biol..

[41]  Wei Lin,et al.  Nash strategies for pursuit-evasion differential games involving limited observations , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[42]  Xuanming Su,et al.  A Dynamic Level-k Model in Sequential Games , 2012, Manag. Sci..

[43]  Erik Einhorn,et al.  Finding the adequate resolution for grid mapping - Cell sizes locally adapting on-the-fly , 2011, 2011 IEEE International Conference on Robotics and Automation.

[44]  A. Rubinstein,et al.  The 11-20 Money Request Game: A Level-k Reasoning Study , 2012 .

[45]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[46]  J. Filar,et al.  Competitive Markov Decision Processes , 1996 .

[47]  H T Siegelmann,et al.  The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions , 2015, Scientific Reports.

[48]  H. Simon,et al.  Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .

[49]  Incremental path repair in hierarchical motion-planning with dynamical feasibility guarantees for mobile robotic vehicles , 2012, 2015 European Control Conference (ECC).

[50]  Jordi Grau-Moya,et al.  Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes , 2016, ECML/PKDD.

[51]  C. Frith,et al.  Development and neurophysiology of mentalizing. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[52]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[53]  Wynn C. Stirling,et al.  A theory of satisficing decisions and control , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[54]  Daniel Polani,et al.  Information Theory of Decisions and Actions , 2011 .

[55]  Joan Bruna,et al.  Intriguing properties of neural networks , 2013, ICLR.

[56]  Panagiotis Tsiotras,et al.  Multiresolution Motion Planning for Autonomous Agents via Wavelet-Based Cell Decompositions , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[57]  Jordi Grau-Moya,et al.  Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle , 2015, Front. Robot. AI.

[58]  Efstathios Bakolas,et al.  Multiresolution Hierarchical Path-Planning for Small UAVs Using Wavelet Decompositions , 2012, J. Intell. Robotic Syst..

[59]  Eric Horvitz,et al.  Computational tradeoffs under bounded resources , 2001, Artif. Intell..

[60]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[61]  R. Bellman Dynamic programming. , 1957, Science.

[62]  Panagiotis Tsiotras,et al.  Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations , 2019 .

[63]  Daniel A. Braun,et al.  Thermodynamics as a theory of decision-making with information-processing costs , 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[64]  D. Kahneman,et al.  Heuristics and Biases: The Psychology of Intuitive Judgment , 2002 .

[65]  Ali Borji,et al.  Computational Modeling of Top-down Visual Attention in Interactive Environments , 2011, BMVC.

[66]  R. Aumann Correlated Equilibrium as an Expression of Bayesian Rationality Author ( s ) , 1987 .

[67]  Panagiotis Tsiotras,et al.  Hierarchical state abstractions for decision-making problems with computational constraints , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

[68]  A. Rubinstein Modeling Bounded Rationality , 1998 .

[69]  S. Shankar Sastry,et al.  Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation , 2002, IEEE Trans. Robotics Autom..

[70]  R. Aumann Rationality and Bounded Rationality , 1997 .

[71]  Paul W. Goldberg,et al.  The Complexity of Computing a Nash Equilibrium , 2009, SIAM J. Comput..

[72]  Thomas M. Cover,et al.  Elements of Information Theory: Cover/Elements of Information Theory, Second Edition , 2005 .