Results 41 to 50 of about 26,701,700 (316)
, 2021 Game theory is a tool to model and discover social mechanisms. The aim of this chapter is to show how the tool can be used by engaging the reader's interest in the game-theoretic modelling of social dilemmas. Social dilemmas are situations in which several agents face a decision conflict because of their interdependence.
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Theoretical solar models [PDF]
Symposium - International Astronomical Union, 1997 In the last two decades the large amount of accurate helioseismic data has open a new possibility to sound the stellar interiors and to test the stellar evolution theory. This has particularly impulsed a critical reexamination of the basic assumptions and physical inputs in solar modelling.
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A Theoretical Foundation for Count Data Models [PDF]
, 1993 The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.
Daniel Hellerstein +3 more
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Dark energy cosmology: the equivalent description via different theoretical models and cosmography tests [PDF]
, 2012 We review different dark energy cosmologies. In particular, we present the ΛCDM cosmology, Little Rip and Pseudo-Rip universes, the phantom and quintessence cosmologies with Type I, II, III and IV finite-time future singularities and non-singular dark ...
K. Bamba +3 more
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Theoretical model of the Leidenfrost temperature
Physical Review E, 2022 The Leidenfrost effect is a phenomenon in which a liquid, poured onto a surface significantly hotter than the liquid's boiling point, produces a layer of vapor that prevents the liquid from rapid evaporation. Rather than making physical contact, a drop of water levitates above the surface. The temperature above which the phenomenon occurs is called the
Sergey Gavrilyuk, Henri Gouin
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International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
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Theoretical Models for Supernovae [PDF]
, 1982 The results of recent numerical simulations of supernova explosions are presented and a variety of topics discussed. Particular emphasis is given to i) the nucleosynthesis expected from intermediate mass (10 MƟ 100 MƟ) of both Population I and III. In one dimension, nuclear burning following a ‘failed’ core bounce does not appear likely to lead to a ...
Woosley, S. E., Weaver, T. A.
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Simple Theoretical Models for Resonant Cold Atom Interactions [PDF]
, 2006 Magnetically tunable scattering resonances have been used with great success for precise control of s-wave scattering lengths in ultracold atomic collisions. We describe relatively simple yet quite powerful analytic treatments of such resonances based on
Gao, Bo, Julienne, Paul S.
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Collective narratives catalyse cooperation
Humanities & Social Sciences Communications, 2022 Humans invest in fantastic stories—mythologies. Recent evolutionary theories suggest that cultural selection may favour moralising stories that motivate prosocial behaviours.
Chaitanya S. Gokhale +2 more
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