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1. Implications of computer science theory for the simulation hypothesis

2. Game Mining: How to Make Money from those about to Play a Game

3. Memory Systems, the Epistemic Arrow of Time, and the Second Law

4. Stochastic thermodynamics of multiple co-evolving systems -- beyond multipartite processes

5. Entropy production in communication channels

7. Nonequilibrium thermodynamics of uncertain stochastic processes

8. Stochastic Mathematical Systems

9. Thermodynamics of deterministic finite automata operating locally and periodically

10. What can we know about that which we cannot even imagine?

11. Combining lower bounds on entropy production in complex systems with multiple interacting components

13. The Past as a Stochastic Process

14. Thermodynamic speed limits for co-evolving systems

16. Entropy production given constraints on the energy functions

17. The Implications of the No-Free-Lunch Theorems for Meta-induction

18. Thermodynamics of nonequilibrium systems with uncertain parameters

19. Dependence of integrated, instantaneous, and fluctuating entropy production on the initial state in quantum and classical processes

20. Thermodynamic Uncertainty Relations for Multipartite Processes

21. Stochastic thermodynamics and fluctuation theorems for non-linear systems

22. Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes

23. Work, entropy production, and thermodynamics of information under protocol constraints

24. What is important about the No Free Lunch theorems?

25. Strengthened second law for multi-dimensional systems coupled to multiple thermodynamic reservoirs

26. Fluctuation theorems for multiple co-evolving systems

27. Minimal entropy production due to constraints on rate matrix dependencies in multipartite processes

28. Thermodynamic costs of Turing Machines

29. Uncertainty relations and fluctuation theorems for Bayes nets

30. Stochastic thermodynamics of computation

31. Overview of Information Theory, Computer Science Theory, and Stochastic Thermodynamics for Thermodynamics of Computation

32. Semantic information, autonomous agency, and nonequilibrium statistical physics

33. Upgrading from Gaussian Processes to Student's-T Processes

34. Number of hidden states needed to physically implement a given conditional distribution

35. A space-time tradeoff for implementing a function with master equation dynamics

37. Nonlinear Information Bottleneck

38. Dependence of dissipation on the initial distribution over states

39. Reducing the error of Monte Carlo Algorithms by Learning Control Variates

40. The free energy requirements of biological organisms; implications for evolution

41. Extending Landauer's Bound from Bit Erasure to Arbitrary Computation

42. Impossible inferences.

43. Optimal high-level descriptions of dynamical systems

44. Predicting the behavior of interacting humans by fusing data from multiple sources

45. Value of information in noncooperative games

46. Estimating Functions of Distributions Defined over Spaces of Unknown Size

47. Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future

48. Predicting the behavior of interacting humans by fusing data from multiple sources

50. Game theoretic modeling of pilot behavior during mid-air encounters

51. Hysteresis effects of changing parameters of noncooperative games

52. What does Newcomb's paradox teach us?

53. Physical limits of inference

54. Parametric Learning and Monte Carlo Optimization

55. Adaptive Programming of Unconventional Nano-Architectures

56. A Predictive Theory of Games

57. An adaptive Metropolis-Hastings scheme: sampling and optimization

58. Metrics for more than two points at once

59. Distributed Control by Lagrangian Steepest Descent

60. Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics

61. Product Distribution Field Theory

62. On the computational capabilities of physical systems part II: relationship with conventional computer science

63. On the computational capabilities of physical systems part I: the impossibility of infallible computation

64. Avoiding Braess' Paradox through Collective Intelligence

65. Adaptivity in Agent-Based Routing for Data Networks

66. An Introduction to Collective Intelligence

67. Collective Intelligence for Control of Distributed Dynamical Systems

68. Using Collective Intelligence to Route Internet Traffic

69. General Principles of Learning-Based Multi-Agent Systems

71. Estimating Functions of Probability Distributions from a Finite Set of Samples, Part 1: Bayes Estimators and the Shannon Entropy

72. Estimating Functions of Distributions from A Finite Set of Samples, Part 2: Bayes Estimators for Mutual Information, Chi-Squared, Covariance and other Statistics

76. The lesson of Newcomb's paradox

77. Coevolutionary free lunches

90. Collective Intelligence

93. Method for guessing the response of a physical system to an arbitrary input

96. Strategic Choice of Preferences: The Persona Model.

100. Providing effective access to shared resources: A COIN approach

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