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A Distributed Computational Model of State of Consciousness

机译:一种分布式计算模型的意识状态

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The computational modeling of neurobiological phenomena is an important area in bio-inspired computing. The understanding of state of consciousness as cognitive function is central to it. The functioning of neurological structures is inherently distributed in nature having a closer match to distributed computing. However, the role of functional neurophysiology is critical in cognition modeling. This paper proposes a mathematical model of state of consciousness by mapping the functional neurophysiology and by inducing distributed computing structures in coherence. The scopes of evolution of consciousness and memory are incorporated into the model. The numerical simulation of the distributed computational model is conducted by considering different choice functions. The results illustrate that, gradual evolution of positive consciousness is deterministic under fair excitation from environment.
机译:神经生物学现象的计算建模是生物启发计算中的重要领域。理解意识状态作为认知功能是核心的。神经结构结构的功能本质上具有较近分布式计算的自然分布。然而,功能性神经生理学的作用在认知建模中至关重要。本文通过映射功能性神经生理学和诱导分布式计算结构,提出了一种意识状态的数学模型。意识和记忆的演变范围纳入模型中。通过考虑不同的选择功能来进行分布式计算模型的数值模拟。结果表明,积极意识的逐步演变是在环境中公平激发的确定性。

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