人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
物理法則に基づく外的駆動型因果性の導出
鷲尾 隆
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解説誌・一般情報誌 フリー

1990 年 5 巻 4 号 p. 482-491

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This paper proposes methods to derive the exogenously-driven causality of a physical system based on the intrinsic assumptions of evolutional causality and functional causality of each of the system's internal physical laws. The exogenously-driven causality of a physical system has previously been considered as being a feature of the entire system. The work reported here demonstrates that a major portion of the knowledge can be deriven from the intrinsic causal assumptions associated with each elementary physical law in the system description without requiring any information on external mechanisms. First, heuristics to extract the system-independent causal assumptions of each physical law are proposed. Second, a knowledge representation that describes the quantitative and causal assumptions of each physical law is established. This representation consists of 'assumptive structural equations'. Third, a method to derive candidate exogenous variables, causal structures, and mythical causality of the system is demonstrated based on the assumptive structural equations. Fourth, algebraic rules to derive various equations involving the knowledge of exogenously-driven causality of the system are shown. This methodology should be of use in simulation, design planning, and diagnosis of physical systems.

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© 1990 人工知能学会
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