The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources
https://doi.org/10.18255/1818-1015-2023-3-234-245
Abstract
About the Authors
Alexander N. KirillovRussian Federation
Inna V. Danilova
Russian Federation
References
1. R. B. Aumann, “Rationality and Bounded Rationality,” Games and econimic behavior, vol. 21, no. 1, pp. 2–14, 1997.
2. P. A. Ortega, D. A. Braun, J. Dyer, K.-E. Kim, and N. Tishby, “Information-Theoretic Bounded Rationality.” 2015, [Online]. Available: https://arxiv.org/abs/1512.06789.
3. D. A. Braun and P. A. Ortego, “Information-Theoretic Bounded Rationality and ε-Optimality,” Entropy, vol. 16, pp. 4662–4676, 2014.
4. M. D. Breed and J. Moore, Encyclopedia of animal behavior. Elsevier Ltd., 2019.
5. E. Kagan and I. Ben-Gal, Search and foraging individual motion and swarm dynamics. Taylor and Francis Group, LLC, 2015.
6. B. Y. Hayden and M. E. Walton, “Neuroscience of foraging,” Frontiers in Neuroscience, vol. 8, p. 81, 2014.
7. D. L. Barack, C. S. W., and P. M. L., “Posterior cingulate neurons dynamically signal decisions to disengage during foraging,” Neuron, vol. 96, no. 2, pp. 339–347, 2017.
8. J. S. Greene et al., “Balancing selection shapes density-dependent foraging behaviour,” Nature, vol. 539, pp. 254–258, 2016.
9. R. Cressman and V. Krivan, “The ideal free distribution as an evolutionarily stable state in density-dependent population games,” Oikos, vol. 119, no. 8, pp. 1231–1242, 2010.
10. R. Cressman and V. Krivan, “Two-patch population models with adaptive dispersal: the effects of varying dispersal speeds,” Mathematical Biology, vol. 67, pp. 329–358, 2013.
11. M. Shuichi, R. Arlinghaus, and U. Dieckmann, “Foraging on spatially distributed resources with suboptimal movement, imperfect information, and travelling
12. costs: departures from the ideal free distribution,” Oikos, vol. 119, no. 9, pp. 1469–1483, 2010.
13. L. D. Landau and E. M. Lifshitz, Statistical physics. Nauka, 1976.
14. I. P. Kornfeld, Y. G. Sinai, and S. V. Fomin, Ergodic theory. Nauka, 1980.
15. R. Bowen, Methods of symbolic dynamics. Mir, 1979.
16. C. J. C. H. Watkins and P. Dayan, “Technical note Q-Learning,” Machine Learning, vol. 8, no. 3, pp. 279–292, 1992.
17. A. Kianercy and A. Galstyan, “Dynamics of Boltzmann Q learning in two-player two-action games,” Physical review, vol. 85, no. 4, p. 041145, 2012.
18. P. A. Ortega and D. A. Braun, “Thermodynamics as a theory of decision-making with information-processing costs,” Proceedings of the Royal Society, vol. 469, no. 2153, p. 20120683, 2013.
19. S. K. Mitter and N. J. Newton, “Information and entropy flow in the Kalman-Bucy filter,” Journal of Statistical Physics, vol. 118, pp. 145–176, 2005.
20. P. Pirolli, Information foraging theory. Oxford university press, 2007.
21. K. Lerman and A. Galstyan, “Mathematical model of foraging in a group of robots: effect of interference,” Autonomous robots, vol. 13, pp. 127–141, 2002.
22. A. N. Kirillov and I. V. Danilova, “Dynamics of population patch distribution,” Modeling and Analysis of Information Systems, vol. 25, no. 3, pp. 268–275, 2018.
23. A. N. Kirillov and I. V. Danilova, “Utility function in the foraging problem with imperfect information,” Information and Control Systems, vol. 105, no. 2, pp. 71–77, 2020.
24. I. V. Danilova, A. N. Kirillov, and A. A. Krizhanovsky, “Boltzmann distribution in relation to the problem of population migration,” Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, no. 2, pp. 92–102, 2020.
Review
For citations:
Kirillov A.N., Danilova I.V. The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources. Modeling and Analysis of Information Systems. 2023;30(3):234-245. (In Russ.) https://doi.org/10.18255/1818-1015-2023-3-234-245