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Related papers: Modeling the Monty Hall Decision Problem with Reac…

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Tasks where the set of possible actions depend discontinuously on the state pose a significant challenge for current reinforcement learning algorithms. For example, a locked door must be first unlocked, and then the handle turned before the…

Robotics · Computer Science 2023-03-09 Mrinal Verghese , Chris Atkeson

We consider a generalization of the classical 100 Prisoner problem and its variant, involving empty boxes, whereby winning probabilities for a team depend on the number of attempts, as well as on the number of winners. We call this the…

Combinatorics · Mathematics 2023-02-14 Ivano Lodato , Snehal M. Shekatkar , Tian An Wong

The problem of retrosynthetic planning can be framed as one player game, in which the chemist (or a computer program) works backwards from a molecular target to simpler starting materials though a series of choices regarding which reactions…

Machine Learning · Computer Science 2019-01-23 John S. Schreck , Connor W. Coley , Kyle J. M. Bishop

Here, we present the quantum version of a very famous statistical decision problem, whose classical version is counter-intuitive to many. The Monty Hall game can be phrased as a two person game between Alice and Bob. In their pioneering…

Quantum Physics · Physics 2019-01-24 Souvik Paul , Bikash K. Behera , Prasanta K. Panigrahi

We consider a sequential cascade of molecular first-reaction events towards a terminal reaction centre in which each reaction step is controlled by diffusive motion of the particles. The model studied here represents a typical reaction…

Biological Physics · Physics 2021-10-13 Denis S. Grebenkov , Ralf Metzler , Gleb Oshanin

When a model makes a consequential decision, e.g., denying someone a loan, it needs to additionally generate actionable, realistic feedback on what the person can do to favorably change the decision. We cast this problem through the lens of…

Artificial Intelligence · Computer Science 2022-06-22 Goutham Ramakrishnan , Yun Chan Lee , Aws Albarghouthi

For two molecules to react they first have to meet. Yet, reaction times are rarely on par with the first-passage times that govern such molecular encounters. A prime reason for this discrepancy is stochastic transitions between reactive and…

Statistical Mechanics · Physics 2021-07-21 Yuval Scher , Shlomi Reuveni

When people pursue rewards in stochastic environments, they often match their choice frequencies to the observed target frequencies, even when this policy is demonstrably sub-optimal. We used a ``hide and seek'' task to evaluate this…

Neurons and Cognition · Quantitative Biology 2025-11-11 Peter DiBerardino , Britt Anderson

This paper studies the decision making problem with Funnel Structure. Funnel structure, a well-known concept in the marketing field, occurs in those systems where the decision maker interacts with the environment in a layered manner…

Machine Learning · Statistics 2021-02-02 Ziping Xu , Amirhossein Meisami , Ambuj Tewari

We consider chemical reaction networks taken with mass action kinetics. The steady states of such a system are solutions to a system of polynomial equations. Even for small systems the task of finding the solutions is daunting. We develop…

Dynamical Systems · Mathematics 2011-09-08 Elisenda Feliu , Carsten Wiuf

In biology phenotypic switching is a common bet-hedging strategy in the face of uncertain environmental conditions. Existing mathematical models often focus on periodically changing environments to determine the optimal phenotypic response.…

Populations and Evolution · Quantitative Biology 2018-03-14 Peter G. Hufton , Yen Ting Lin , Tobias Galla

Engineering molecular systems that exhibit complex behavior requires the design of kinetic barriers. For example, an effective catalytic pathway must have a large barrier when the catalyst is absent. While programming such energy barriers…

Emerging Technologies · Computer Science 2020-01-28 Keenan Breik , Cameron Chalk , David Doty , David Haley , David Soloveichik

The probability distribution describing the state of a Stochastic Reaction Network evolves according to the Chemical Master Equation (CME). It is common to estimated its solution using Monte Carlo methods such as the Stochastic Simulation…

Quantitative Methods · Quantitative Biology 2015-06-18 Benjamin Hepp , Ankit Gupta , Mustafa Khammash

The system-level dynamics of multivalent biomolecular interactions can be simulated using a rule-based kinetic Monte Carlo method in which a rejection sampling strategy is used to generate reaction events. This method becomes inefficient…

Quantitative Methods · Quantitative Biology 2010-03-04 Jin Yang , William S. Hlavacek

Incentives are more likely to elicit desired outcomes when they are designed based on accurate models of agents' strategic behavior. A growing literature, however, suggests that people do not quite behave like standard economic agents in a…

Computer Science and Game Theory · Computer Science 2014-06-09 Arpita Ghosh , Robert Kleinberg

Chemical reaction network theory is a powerful framework to describe and analyze chemical systems. While much about the concentration profile in an equilibrium state can be determined in terms of the graph structure, the overall reaction's…

Molecular Networks · Quantitative Biology 2024-02-29 Tomoharu Suda

The induced kinetic differential equation of a reaction network endowed with mass action type kinetics is a system of polynomial differential equations. The problem studied here is: Given a polynomial differential equation, is it possible…

Dynamical Systems · Mathematics 2019-09-10 G. Craciun , M. D. Johnston , G. Szederkényi , E. Tonello , J. Tóth , P. Y. Yu

Learning to adapt and make real-time informed decisions in a dynamic and complex environment is a challenging problem. Monopoly is a popular strategic board game that requires players to make multiple decisions during the game.…

Machine Learning · Computer Science 2022-04-07 Trevor Bonjour , Marina Haliem , Aala Alsalem , Shilpa Thomas , Hongyu Li , Vaneet Aggarwal , Mayank Kejriwal , Bharat Bhargava

In the first part of this paper we give a short review of the hierarchy of stochastic models, related to physical chemistry. In the basement of this hierarchy there are two models --- stochastic chemical kinetics and the Kac model for…

Mathematical Physics · Physics 2011-12-26 V. A. Malyshev

Understanding cooperative behavior in biological and social systems constitutes a scientific challenge, being the object of intense research over the past decades. Many mechanisms have been proposed to explain the presence and persistence…

Physics and Society · Physics 2022-08-24 Hugo Perez-Martinez , Carlos Gracia-Lazaro , Fabio Dercole , Yamir Moreno