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Stress Response Mathematic Model And Its Application In Reply Plan

Posted on:2016-04-23Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:1108330464953886Subject:Operational Research and Cybernetics
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Intelligent planning is a popular research field of Artificial Intelligence. The basic idea of intelligent planning is descripte the surrounding environment, analysis the candidate actions set,and formulate an action sequence to achieve the desired objectives, namely, to generate a valid plan.The application of intelligent planning can be traced back to 1971. At 1971, Nilsson et al. proposed an intelligent planning system, STRIPS(Stanford Research Institute Problem Solver), for the action planning of Shakey. At present, the intelligent planning has been widely applied in various fields: power supply restoration, pipeline transportation, steel plant scheduling and so on. In addition, some integrated planning systems have also been successful utilized, such as O-Plan is used for collaborative search and rescue; SIPE-2 is used for operational planning and production scheduling planning and ASPEN is used for mission planning and spacecraft command generation planning.The above traditional plannings were focuse on generating a valid plan. But in today’s network social, planners are inevitable interact with others. The interaction may include help, assistance and attack. During those three major interactions, people especially need to study the attack interaction, namely adversarial planning. However, the recognition and reply of the adversarial planning exceed the field of the classical planning.We establish a stress response mathematical model, and utilize this model to design a reply plan system, RPDM(Reply Plan with Defense Mechanism). A series of non specific general adaptation syndrome would occur while the body expose to stressors, this process is called stress response. Stress response characterized by the sympathetic nervous system(SNS) and hypothalamic pituitary adrenal axis(HPA) exciting. The stress response is a crucial mechanism for maintaining the human life when face the harsh environments. Hence, the stress response becomes the natural template for our research.Essentially, the stress response is a process of stress hormones regulation. We deduced the stress hormones mass transfer equation and regulation equation by the mass transfer principle. And from those two equations, we chould calculate the stress response defense time.In stress response, hypothalamus perceives stressors and starts the stress response. After analyze the function of hypothalamus, we proposed an assumption: use the support vector machine(SVM) to simulate the hypothalamus. We also tested the classify accuracy of SVM and the accuracy was more than 85%.Stress response is a kind of self-adaptive defense reaction. In theory, it does not need the overall description of the outside world and the completely reasoning knowledge. Therefore, a planner with defense ability, to some extent, can get rid of the manual control and can be deployed in the unfamilar environment.The RPDM includes: Adversarial Plan Recognizer, Defense Timer and Execution System. Each RPDM reply action is encapsulated in an effector. RPDM can start few effectors to against adversarial actions or an entire adversarial plan. RPDM has three effectors which encapsulate RASE(Reply Action for Substitute Effector), RAEE(Reply Action for Eliminate Effector) and RAOE(Reply Action for Occupy Effector), respectively.We believe the stress response defense mechanism would have a broad application prospect. It is likely to be an important application in the autonomous exploration robot and network security and so on.
Keywords/Search Tags:Intelligent Planning, Stress Response, Mass Transfer Principle, Adversarial Plan, Machine Learning, Reply Plan
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