The free-rider in the quantum Stackelberg duopoly game

2020 ◽  
Vol 553 ◽  
pp. 124271 ◽  
Author(s):  
Ramón Alonso-Sanz ◽  
Samuel Martin-Gutierrez
Keyword(s):  
Free Rider ◽  
Stackelberg Duopoly

Free Rider

2015 ◽  
Vol 50 (5) ◽  
pp. 1-10
Author(s):  
Stanislav Manilov ◽  
Björn Franke ◽  
Anthony Magrath ◽  
Cedric Andrieu
Keyword(s):  
Free Rider

scholarly journals Nodes with the highest control power play an important role at the final level of cooperation in directed networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ali Ebrahimi ◽  
Marzieh Yousefi ◽  
Farhad Shahbazi ◽  
Mohammad Ali Sheikh Beig Goharrizi ◽  
Ali Masoudi-Nejad
Keyword(s):  
Free Rider ◽  
The Other ◽  
Public Goods Game ◽  
The Public ◽  
Free Riders ◽  
Control Power ◽  
Final Level ◽  
Input Signals ◽  
Tumoral Cells ◽  
Power Play

AbstractControllability of complex networks aims to seek the lowest number of nodes (the driver nodes) that can control all the nodes by receiving the input signals. The concept of control centrality is used to determine the power of each node to control the network. The more a node controls the nodes through connections in the network, the more it has the power to control. Although the cooperative and free-rider strategies and the final level of cooperation in a population are considered and studied in the public goods game. However, it is yet to determine a solution to indicate the effectiveness of each member in changing the strategies of the other members. In a network, the choice of nodes effective in changing the other nodes’ strategies, as free-riders, will lead to lower cooperation and vice versa. This paper uses simulated and real networks to investigate that the nodes with the highest control power are more effective than the hubs, local, and random nodes in changing the strategies of the other nodes and the final level of cooperation. Results indicate that the nodes with the highest control power as free-riders, compared to the other sets being under consideration, can lead to a lower level of cooperation and are, therefore, more effective in changing the strategies of the other nodes. The obtained results can be considered in the treatment of cancer. So that, destroying the tumoral cells with the highest control power should be a priority as these cells have a higher capability to change the strategies of the other cells from cooperators to free-riders (healthy to tumoral).

How do Optimistic Individuals Affect Insurance Advertisements?

2020 ◽  
Vol 14 (2) ◽  
Author(s):  
Yoichiro Fujii ◽  
Michiko Ogaku ◽  
Mahito Okura ◽  
Yusuke Osaki
Keyword(s):  
Maximum Level ◽  
Optimal Level ◽  
Insurance Premium ◽  
Free Rider ◽  
Free Rider Problem ◽  
Accident Probability ◽  
Insurance Firms ◽  
The Difference ◽  
Accident Probabilities ◽  
Equilibrium Number

AbstractSome people have optimistic expectations regarding their accident probability, and thus, refrain from purchasing adequate insurance. This study investigates how insurance firms use advertisements to lower the ratio of optimistic individuals in the market. The main results are as follows: first, the optimal level of advertisements is maximized when the insurance premium is moderate. Second, the maximum level of advertisement varies according to the degree of optimism, which is measured by the difference between accurate and optimistic accident probabilities. Third, the advertisement decision is affected by the free-rider problem, and the equilibrium number of insurance firms with advertisement is always larger than that of firms without advertisement in a competitive insurance market.

scholarly journals Are there similarities between the Corona and the climate crisis?

2021 ◽  
Author(s):  
Robert C. Schmidt
Keyword(s):  
Climate Change ◽  
Political Parties ◽  
Decision Procedures ◽  
Free Rider ◽  
Decision Makers ◽  
Short Paper ◽  
Political Decision ◽  
Look Back ◽  
Policy Measures ◽  
Climate Crisis

AbstractIn this short paper, I look back at the early stages of the Corona crisis, around early February 2020, and compare the situation with the climate crisis. Although these two problems unfold on a completely different timescale (weeks in the case of Corona, decades in the case of climate change), I find some rather striking similarities between these two problems, related with issues such as uncertainty, free-rider incentives, and disincentives of politicians to adequately address the respective issue with early, farsighted and possibly harsh policy measures. I then argue that for complex problems with certain characteristics, it may be necessary to establish novel political decision procedures that sidestep the normal, day-to-day political proceedings. These would be procedures that actively involve experts, and lower the involvement of political parties as far as possible to minimize the decision-makers’ disincentives.

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