A Model Combining BDI Logic and Temporal Logics for Decision-Making in Emergency

Q3 Computer Science
Ferdaous Benrouba, R. Boudour
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引用次数: 0

Abstract

Abstract Nowadays, we are dealing with panic and unpleasant situations in which, we are constrained to make crucial decisions in a limited delay, due to the mixed emotions that may affect our decision, especially FEAR, this kind of emotion occurs when unwanted or uncontrollable events are present in the environment. These recent years, fear modelling has been well researched and since this emotion is usually associated with the fact that one or more fundamental desires are at stake Unluckily, most of these models miss that FEAR does not always occur similarly in all agents. This paper proposes a new conceptual architecture with a new component by extending BDI logic with the emotion of FEAR, so that the new Emotional-BDI agents may better cope with extremely dynamic unpleasant situations in their surroundings. We also address how we verify the emotional properties by employing a model checker NuSMV. The proposed architecture confirms that NuSMV can be applied to verify the emotional specifications we can program agents that are capable of reasoning over emotions, our experimental results indicate the viability and efficiency of our model. Keywords: Emotional-BDI, Model checking, NuSMV, CUDD, Unpleasant situations.
BDI逻辑与时态逻辑相结合的应急决策模型
如今,我们在处理恐慌和不愉快的情况下,我们被迫在有限的延迟内做出关键的决定,由于各种各样的情绪可能会影响我们的决定,尤其是恐惧,这种情绪发生在环境中出现不想要的或无法控制的事件时。近年来,恐惧模型已经得到了很好的研究,因为这种情绪通常与一个或多个基本欲望处于危险之中的事实有关。不幸的是,大多数这些模型都忽略了恐惧并不总是在所有主体中相似地发生。本文提出了一种新的概念架构和一个新的组件,通过将BDI逻辑扩展到恐惧情绪,从而使新的情绪-BDI智能体能够更好地应对周围极度动态的不愉快情况。我们还讨论了如何通过使用模型检查器NuSMV来验证情感属性。所提出的架构证实了NuSMV可以应用于验证情感规范,我们可以编程具有情感推理能力的代理,我们的实验结果表明了我们模型的可行性和效率。关键词:情绪- bdi,模型检验,NuSMV, CUDD,不愉快情境。
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来源期刊
International Journal of Advances in Soft Computing and its Applications
International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications
CiteScore
3.30
自引率
0.00%
发文量
31
期刊介绍: The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.
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