Social selection analysis for a role of nuclear power generation by evolutionary game theory in the aspect of global warming assessment

2020 ◽  
Vol 20 (1) ◽  
pp. 25
Author(s):  
Tae Ho Woo
PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0140646 ◽  
Author(s):  
Alessandro Di Stefano ◽  
Marialisa Scatà ◽  
Aurelio La Corte ◽  
Pietro Liò ◽  
Emanuele Catania ◽  
...  

Author(s):  
Nick Zangwill

Abstract I give an informal presentation of the evolutionary game theoretic approach to the conventions that constitute linguistic meaning. The aim is to give a philosophical interpretation of the project, which accounts for the role of game theoretic mathematics in explaining linguistic phenomena. I articulate the main virtue of this sort of account, which is its psychological economy, and I point to the casual mechanisms that are the ground of the application of evolutionary game theory to linguistic phenomena. Lastly, I consider the objection that the account cannot explain predication, logic, and compositionality.


Author(s):  
Chiyokazu Fukae

The results of surveys conducted in some developed countries (the United States, Germany, and France) and in Japan showed that approximately 50% of the respondents considered nuclear power generation to be a cause of global warming. Therefore, it is important to investigate why a wide range of people lack the awareness that nuclear power generation is an effective means of preventing global warming and why approximately 50% of people think that nuclear power generation is a cause of global warming. In this research, it was investigated why people think that nuclear power generation is a cause of global warming. Factor analysis method was applied to data obtained from survey at Kansai area in Japan. Using the survey results, people’s awareness structure was analyzed to determine factors behind people’s perception that nuclear power generation is a cause of global warming and to identify ideas preventing people from recognizing nuclear power generation, which emits no carbon dioxide during power generation, as a means of preventing global warming. As a result, the misunderstanding, the thermal discharge and radioactive material etc. produced from a nuclear power plant promotes global warming, has influenced on this issue. It has become evident that behind such misunderstanding is a negative image of nuclear power. This negative image is a factor to decrease the evaluation that nuclear power is useful for preventing global warming regardless of the presence of the misunderstanding. It is believed that the negative image of nuclear power does not lead to direct association of nuclear power generation and global warming, but by the fear that the accident of the nuclear plant brings the environmental destruction, people evaluate that nuclear power generation is not effective for preventing global warming without grounds. Especially, the tendency is very strong in young people.


2012 ◽  
Vol 18 (4) ◽  
pp. 365-383 ◽  
Author(s):  
The Anh Han ◽  
Luís Moniz Pereira ◽  
Francisco C. Santos

Intention recognition is ubiquitous in most social interactions among humans and other primates. Despite this, the role of intention recognition in the emergence of cooperative actions remains elusive. Resorting to the tools of evolutionary game theory, herein we describe a computational model showing how intention recognition coevolves with cooperation in populations of self-regarding individuals. By equipping some individuals with the capacity of assessing the intentions of others in the course of a prototypical dilemma of cooperation—the repeated prisoner's dilemma—we show how intention recognition is favored by natural selection, opening a window of opportunity for cooperation to thrive. We introduce a new strategy (IR) that is able to assign an intention to the actions of opponents, on the basis of an acquired corpus consisting of possible plans achieving that intention, as well as to then make decisions on the basis of such recognized intentions. The success of IR is grounded on the free exploitation of unconditional cooperators while remaining robust against unconditional defectors. In addition, we show how intention recognizers do indeed prevail against the best-known successful strategies of iterated dilemmas of cooperation, even in the presence of errors and reduction of fitness associated with a small cognitive cost for performing intention recognition.


2018 ◽  
Vol 65 ◽  
pp. 217-234
Author(s):  
Frederick Michael Burdekin ◽  
Paul Bowen

John Knott was a leading expert in materials, fracture and structural integrity applied particularly to the fields of nuclear power generation and aero-engine applications. He made significant contributions to the quantitative scientific understanding of fracture processes in metals and alloys and its applications in engineering. His early work elucidated the role of microstructure in the initiation and propagation of cracks and involved detailed analysis of the micro-mechanisms of cleavage, ductile and fatigue fracture modes in many types of steel and non-ferrous alloys. He developed innovative techniques of mechanical testing which allowed detailed monitoring of crack propagation. He was the author of a much-used text book on the principles of fracture mechanics. The wide range of his expertise meant that John Knott was in high demand to serve on advisory committees for both government and industry organizations, particularly in the civil nuclear power generation and aerospace industries. With his deep knowledge of materials behaviour, he was invited to give many prestigious lectures at conferences. He was a convivial character with a keen sense of humour and often entertained conference dinners with poems he had composed about the particular event and about other participants.


Sign in / Sign up

Export Citation Format

Share Document