Method for generating plan based on cognitive model

Abstract

The invention belongs to the technical field of emergency plan management and relates to a method for generating a plan based on a cognitive model. The method comprises the following steps of: inputting a bound variable by a decision maker, and calculating the level of the emergency by a system; performing characteristics matching in a case and plan base; if the matching is successful, outputting action sequences in a corresponding plan and a corresponding case, and judging the validity according to a situation; if the matching fails, returning to an initial state; if the generated initial plan decision scheme needs adjusting, performing re-matching on the case and the plan; and if the generated initial plan decision scheme does not need adjusting, obtaining a target plan decision scheme. Due to the adoption of the cognitive model and the plan CSP matching algorithm, the method has higher accuracy and real-time characteristic, and provides effective situation integration information and decision-making information for the decision maker by using the high-performance calculation power of a computer; and simultaneously, the high cognition of the decision maker on the field is fully utilized, and a comprehensive emergency plan is repeatedly studied under the intervention of the decision maker, so higher reality usability is achieved.

Description

Background technique [0001] Public emergencies have occurred frequently over the past few years. Public security emergencies, with their suddenness, complexity, destructiveness, and persistence, often bring great troubles to the disposal of disasters. Some large and medium-sized incidents are often accompanied by various secondary disasters, involving many fields and complicated internal relationships. So much data information poses a harsh challenge to the real-time ad hoc decision-making agency. [0002] The current decision support system generally takes rational decision-making as a theoretical basis, and provides decision-makers with relevant plans or cases through keyword matching algorithms, but it cannot dynamically generate possible effective executable plans according to the current situation. The background technology involved in the present invention has: [0003] (1) Contingency plan CSP algorithm: Contingency plan CSP algorithm is a general and domain-independ...

AI Technical Summary

Problems solved by technology

[0002] The current decision support system generally takes rational decision-making as a theoretical basis, and provides decision-makers with relevant plans or cases through keyword matching algorithms, but cannot dynamically generate effective executable plans based on the current situation.

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