Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Luis R. Izquierdo"'
Publikováno v:
Journal of Industrial Engineering and Management, Vol 16, Iss 2, Pp 398-424 (2023)
Purpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties. Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and b
Externí odkaz:
https://doaj.org/article/3d53d1732c9b4b11bbead443f5011ede
Publikováno v:
Dirección y Organización. :18-28
En este trabajo describimos una competición en Kaggle en la que los alumnos afrontan el reto de predecir un número de enlaces ausentes de una red social de usuarios que califican películas. Las competiciones “InClass” de Kaggle son una herrami
Publikováno v:
SoftwareX, Vol 7, Iss , Pp 226-233 (2018)
EvoDyn-3s generates phase portraits of evolutionary dynamics, as well as data for the analysis of their equilibria. The considered evolutionary dynamics are ordinary differential equations based on adaptive processes taking place in a population of p
Externí odkaz:
https://doaj.org/article/0fb36ebc2b894d9b82325f0f00560040
Publikováno v:
Revista de Métodos Cuantitativos para la Economía y la Empresa, Vol 22, Pp 36-54 (2016)
La economía artificial es uno de los métodos o enfoques de investigación para el estudio de sistemas socioeconómicos complejos con mayor crecimiento durante los últimos años. Este artículo presenta una visión crítica sobre sus característic
Externí odkaz:
https://doaj.org/article/7fbd0e73c4dc4b3e8ced4946bf85cc5c
We consider population games played by procedurally rational players who, when revising their current strategy, test each of their available strategies independently in a series of random matches –i.e., a battery of tests–, and then choose the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445fd11b222a7cb21969740ad7417d82
http://hdl.handle.net/10259/7636
http://hdl.handle.net/10259/7636
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031279140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e1bc605fd42b605ee29b8e09af7c12
https://doi.org/10.1007/978-3-031-27915-7_72
https://doi.org/10.1007/978-3-031-27915-7_72
Publikováno v:
Royal Society Open Science, Vol 5, Iss 2 (2018)
The outbreak of epidemics, the rise of religious radicalization or the motivational influence of fellow students in classrooms are some of the issues that can be described as diffusion processes in heterogeneous groups. Understanding the role that in
Externí odkaz:
https://doaj.org/article/816bb8ba42f44c22bb716f2d7b7cdf0b
Stability of Strict Equilibria in Best Experienced Payoff Dynamics: Simple Formulas and Applications
Publikováno v:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname
UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname
UVaDOC. Repositorio Documental de la Universidad de Valladolid
Producción Científica
We consider a family of population game dynamics known as Best Experienced Payoff Dynamics. Under these dynamics, when agents are given the opportunity to revise their strategy, they test some of their possible strategies
We consider a family of population game dynamics known as Best Experienced Payoff Dynamics. Under these dynamics, when agents are given the opportunity to revise their strategy, they test some of their possible strategies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c82c3c8bb669cf0d4215f605a0bf7906
http://hdl.handle.net/10259/7008
http://hdl.handle.net/10259/7008
Over the past few years, the scientific community has been studying the usefulness of evolutionary game theory to solve distributed control problems. In this paper we analyze a simple version of the Best Experienced Payoff (BEP) algorithm, a revision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b48fbf01ee3cb00c0e480aeb6d0e95b
http://hdl.handle.net/10259/6776
http://hdl.handle.net/10259/6776
Publikováno v:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname
instname
Explaining cooperative experimental evidence in the Centipede game constitutes a challenge for rational game theory. Traditional analyses of Centipede based on backward induction predict uncooperative behavior. Furthermore, analyses based on learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce49a615d305f0511ab4772c1be7000c
http://hdl.handle.net/10259/7112
http://hdl.handle.net/10259/7112