Zobrazeno 1 - 10
of 169
pro vyhledávání: '"David H. Wolpert"'
Autor:
David H. Wolpert, Michael H. Price, Stefani A. Crabtree, Timothy A. Kohler, Jürgen Jost, James Evans, Peter F. Stadler, Hajime Shimao, Manfred D. Laubichler
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 244–245-244–245 (2024)
This article details a correction to: Wolpert, D.H., Price, M.H., Crabtree, S.A., Kohler, T.A., Jost, J., Evans, J., Stadler, P.F., Shimao, H. and Laubichler, M.D. (2024) ‘The Past as a Stochastic Process’, Journal of Computer Applications in Arc
Externí odkaz:
https://doaj.org/article/6b96ff60cdb440efafc71dedde0f4eda
Autor:
David H. Wolpert, Michael H. Price, Stefani A. Crabtree, Timothy A. Kohler, Jürgen Jost, James Evans, Peter F. Stadler, Hajime Shimao, Manfred D. Laubichler
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 134–152-134–152 (2024)
Historical processes manifest remarkable diversity. Nevertheless, scholars have long attempted, with some success, to identify patterns and categorize historical actors and influences. A stochastic process framework provides a structured approach for
Externí odkaz:
https://doaj.org/article/cfae5c2f976b46e090db329cb3da2af2
Autor:
David H. Wolpert, Jens Kipper
Publikováno v:
Entropy, Vol 26, Iss 2, p 170 (2024)
The epistemic arrow of time is the fact that our knowledge of the past seems to be both of a different kind and more detailed than our knowledge of the future. Just like with the other arrows of time, it has often been speculated that the epistemic a
Externí odkaz:
https://doaj.org/article/265bad0176c5406a8ac0416a3de38c1f
Autor:
Jan Korbel, David H. Wolpert
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013021 (2024)
Stochastic thermodynamics is formulated under the assumption of perfect knowledge of all thermodynamic parameters. However, in any real-world situation, there is nonzero uncertainty about the precise value of temperatures, chemical potentials, energy
Externí odkaz:
https://doaj.org/article/21b0e5fa0caf4a88b64f3f31f045f8ea
Publikováno v:
Journal of Social Computing, Vol 3, Iss 1, Pp 1-17 (2022)
Collective computation is the process by which groups store and share information to arrive at decisions for collective behavior. How societies engage in effective collective computation depends partly on their scale. Social arrangements and technolo
Externí odkaz:
https://doaj.org/article/afb33eb92e2e45939422837d145df159
Autor:
Farita Tasnim, David H. Wolpert
Publikováno v:
Entropy, Vol 25, Iss 7, p 1078 (2023)
Many dynamical systems consist of multiple, co-evolving subsystems (i.e., they have multiple degrees of freedom). Often, the dynamics of one or more of these subsystems will not directly depend on the state of some other subsystems, resulting in a ne
Externí odkaz:
https://doaj.org/article/50fce52f4bb7494795b5dc7659e91910
Autor:
Jaeweon Shin, Michael Holton Price, David H. Wolpert, Hajime Shimao, Brendan Tracey, Timothy A. Kohler
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
The Seshat database has made it possible to reveal large-scale patterns in human cultural evolution. Here, Shin et al. investigate transitions in social complexity and find alternating thresholds of polity size and information processing required for
Externí odkaz:
https://doaj.org/article/fd7020379684449fbd70c14dfde50f56
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Deterministic maps from initial to final states can always be modelled using the master equation formalism, provided additional “hidden” states are available. Here, the authors demonstrate a tradeoff between the required number of such states and
Externí odkaz:
https://doaj.org/article/7ec3bcf0a87d44bbaa43547c8d79fd32
Autor:
Artemy Kolchinsky, David H. Wolpert
Publikováno v:
Physical Review X, Vol 11, Iss 4, p 041024 (2021)
In many real-world situations, there are constraints on the ways in which a physical system can be manipulated. We investigate the entropy production (EP) and extractable work involved in bringing a system from some initial distribution p to some fin
Externí odkaz:
https://doaj.org/article/8f90e5c438654b2c9f5826d4c9028add
Autor:
Artemy Kolchinsky, David H. Wolpert
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033312 (2020)
Turing machines (TMs) are the canonical model of computation in computer science and physics. We combine techniques from algorithmic information theory and stochastic thermodynamics to analyze the thermodynamic costs of TMs. We consider two different
Externí odkaz:
https://doaj.org/article/71aff4b3715149d79d46b0efa120dc39