| Project/Area Number |
11695046
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Environmental dynamic analysis
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| Research Institution | Shizuoka University |
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Principal Investigator |
IIDA Hiroyuki Shizuoka University, Asso. Professor, 情報学部, 助教授 (80281723)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIMURA Jin Shizuoka University, Professor, 工学部, 教授 (10291957)
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| Project Period (FY) |
1999 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥2,700,000 (Direct Cost: ¥2,700,000)
Fiscal Year 2001: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1999: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | Environmental problem / Endocrine disrupter chemical / logistic model / ゲーム理論 / 環境の最適性 |
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| Research Abstract |
It is important to consider a game in the case where we have to solve the world-wide environmental problems. This research is a logistical approach to the problem, in which a certain logistic model of multi-person games is proposed. We analyzed the model and then obtained more insight into the domain under consideration. We have chosen some domains of multi-person games such as a four-handed classic game and the game of mediocrity, in oder to observe the agent behaviors with focus on the dynamics of their cooperation. The agent behaviors have been simulated on computers. In the situation with rich uncertainty such as a multi-person game, the reasonable strategy for each agent is a sophisticated process toward the dynamics of the cooperation.
Moreover, our approach has been applied in various aspects. For example, we proposed a new mechanism for hybridizing populations based on frequency-dependent sexual selection theory, a method to estimate the frequency and the spatial Heterogeneity of occurrence of individual plant species, two types of indices with finite-count correction to measure the spatial heterogeneity of binary characteristics of organisms, and a new regression analysis to evaluate the degree of spatial heterogeneity for individual species. Then, we also considered a logistic model of the effect to the health for near-menopause women.
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