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A Decision-making Model under the Assumption of Insufficient Knowledge and Resource

机译:知识和资源不足的情况下的决策模型

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The classical decision theory and the Markov decision model are not proper models of decision-making process of people in a realistic environment. Although some scholars from the field of management have been trying to construct heuristic-primed decision-making theory inspired from cognitive psychology, they have not reflect the principle of the heuristics-primed decision process described in cognitive science. This paper proposes a decision-making model under the assumption of insufficient knowledge and resource, and the beliefs, desire and Intention of the model are handled by the Non-Axiom Logic, which is the logic part of the Non-Axiomatic Reasoning System, NARS. The model was used to represent a firefighting process of a firefighting commander, and the testing cases have been correctly processed. The proposed model will provide a solution for building an improvisional decision-making model in the real environment.
机译:经典的决策理论和马尔可夫决策模型不是现实环境中人们决策过程的正确模型。尽管来自管理领域的一些学者一直在尝试构建受认知心理学启发的启发式决策过程理论,但它们并未反映认知科学中描述的启发式决策过程的原理。本文提出了一种在知识和资源不足的情况下的决策模型,该模型的信念,愿望和意图由非公理逻辑处理,这是非公理推理系统NARS的逻辑部分。该模型用于表示消防指挥官的消防过程,并且测试用例已得到正确处理。所提出的模型将为在实际环境中建立即兴决策模型提供解决方案。

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