Results 41 to 50 of about 1,156,321 (344)

A Further Research on S-core for Interval Cooperative Games [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2015
Interval cooperative game is a kind of model focusing on how to distribute the profit reasonably when payoffs of any alliance are interval numbers. In recent years, the existence and reasonableness of its solution have aroused widespread concern. In this
Dengyuan Xie, Fei Guan, Qiang Zhang
doaj   +1 more source

Assessing Antithetic Sampling for Approximating Shapley, Banzhaf, and Owen Values

open access: yesAppliedMath, 2023
Computing Shapley values for large cooperative games is an NP-hard problem. For practical applications, stochastic approximation via permutation sampling is widely used. In the context of machine learning applications of the Shapley value, the concept of
Jochen Staudacher, Tim Pollmann
doaj   +1 more source

Collapse of cooperation in evolving games [PDF]

open access: yesProceedings of the National Academy of Sciences, 2014
Significance This study offers a new perspective on an age-old question: When does cooperation emerge in populations? Two-player games used to study this question produce an array of counterintuitive results. And yet a consensus has emerged that, in an evolving population, cooperation tends to triumph over cheating––through ...
Stewart, AJ, Plotkin, JB
openaire   +4 more sources

Modeling Competition between Countries in the Development of Arctic Resources

open access: yesResources, 2019
The article is devoted to the approaches that can be applied in the distribution of Arctic resources between the main reference countries of this region.
Pavel Konyukhovskiy   +2 more
doaj   +1 more source

Humans and the core partition: An agent-based modeling experiment.

open access: yesPLoS ONE, 2022
Although strategic coalition formation is traditionally modeled using cooperative game theory, behavioral game theorists have repeatedly shown that outcomes predicted by game theory are different from those generated by actual human behavior.
Andrew J Collins, Sheida Etemadidavan
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Mood states when playing alone or in cooperation: two unequal motor and affective experiences

open access: yesAnales de Psicologia, 2017
This study analyzed the effect of the variables: game type (individual or cooperative), competition, gender, students' association type and beginning-end of the session on the university students' moods.
Verónica Muñoz   +4 more
doaj   +1 more source

COOPERATIVE PARRONDO'S GAMES [PDF]

open access: yesFluctuation and Noise Letters, 2001
We introduce a new family of Parrondo's games of alternating losing strategies in order to get a winning result. In our version of the games we consider an ensemble of players and use "social" rules in which the probabilities of the games are defined in terms of the actual state of the neighbors of a given player.
openaire   +2 more sources

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Learning Cooperative Games

open access: yesCoRR, 2015
This paper explores a PAC (probably approximately correct) learning model in cooperative games. Specifically, we are given $m$ random samples of coalitions and their values, taken from some unknown cooperative game; can we predict the values of unseen coalitions?
Maria-Florina Balcan   +2 more
openaire   +3 more sources

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