Rationality and learning in game theory

Results 161 to 170 of about 2,110 (192)

Behavioral Economics in People Management: A Critical and Integrative Review. [PDF]

Behav Sci (Basel)
Espín AM, García-Martínez JM.
europepmc +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou +2 more
wiley +1 more source

Evolutionary game analysis of strategic organizational knowledge synergy in collaborative innovation. [PDF]

Sci Rep
Tu X, Chen H.
europepmc +1 more source

Evolution of cooperation guided by the coexistence of imitation learning and reinforcement learning. [PDF]

Sci Rep
Tang W, Wang G, Xing Z.
europepmc +1 more source

Construction of evolutionary stability and signal game model for privacy protection in the internet of things. [PDF]

Sci Rep
Li Y, Liu H, Lu L.
europepmc +1 more source

Bibliometric and Visualization Analysis of Path Planning and Trajectory Tracking Research for Autonomous Vehicles from 2000 to 2025. [PDF]

Sensors (Basel)
Niu B, Dobretsov RY.
europepmc +1 more source

Co-Opetition Strategies of Superior and Subordinate Hospitals for Integration of Electronic Health Records Within the Medical Consortiums in China Based on Two-Party Evolutionary Game Theory: Mixed Methods Study.

JMIR Med Inform
Tian S, Jiang R, Yao J, Chen Y.
europepmc +1 more source

Some of the next articles are maybe not open access.

Related searches:

evolutionary game
bounded rationality

Rational Delegation Learning Outsourcing Scheme Based on Game Theory

2020 International Conference on Networking and Network Applications (NaNA), 2020
At present, many enterprises or individuals with a lot of data are limited by their own computing power, so can't mine useful information from the data. To address this problem, this paper proposes a rational delegation machine learning pattern. In the proposed pattern, we firstly construct a reliable game model, and then derive a formal model of ...
Kang Xiang +4 more
openaire +1 more source

Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning

2023 American Control Conference (ACC), 2023
Kyriakos G. Vamvoudakis +7 more
openaire +1 more source

evolutionary game
bounded rationality