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The Neurodynamics of Intentionality in Animal Brains May Provide a Basis for Constructing Devices that are Capable of Intelligent Behavior

机译:动物大脑中的有趣性的神经动力学可以为构建能够智能行为的设备提供基础

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Intelligent behavior is characterized by flexible and creative pursuit of endogenously defined goals. It has emerged in humans through the stages of evolution that are manifested in the brains and behaviors of other animals. Intentionality is a key concept by which to link brain dynamics to goal-directed behavior. The archetypal form of intentional behavior is an act of observation through time and space, by which information is sought for the guidance of future action. Sequences of such acts constitute the key desired property of freeroving, semi-autonomous devices capable of exploring remote environments that are inhospitable for humans. Intentionality consists of the neurodynamics by which images are created of future states as goals, of command sequences by which to act in pursuit of goals, of predicted changes in sensory input resulting from intended actions (reafference) by which to evaluate performance, and modification of the device by itself for learning from the consequences of its intended actions. These principles are well known among psychologists and philosophers. What is new is the development of nonlinear mesoscopic brain dynamics, by which using chaos theory to understand and simulate the construction of meaningful patterns of neural activity that implement the perceptual process of observation. The prototypic hardware realization of intelligent behavior is already apparent in certain classes of robots. The chaotic neurodynamics of sensory cortices in pattern recognition is ready for hardware embodiments, which are needed to provide the eyes, noses and ears of devices for survival and autonomous operation in complex and unpredictable environments.
机译:智能行为的特点是灵活而创造性地追求内源性定义的目标。它通过演化的阶段出现在人类中,表现在其他动物的大脑和行为中。意向性是将脑动力学链接到目标定向行为的关键概念。故意行为的原型形式是通过时间和空间观察的行为,从中寻求未来行动的指导。这种行为的序列构成了可用于探索为人类犹豫不决的偏远环境的半自治设备的可接足性的主要所需性质。故意由将未来状态创建的神经动力学作为目标,由其追求目标的命令序列,由预期行动(重新恢复)产生的感觉输入的预测变化,以评估性能和修改该装置本身可以从其预期行动的后果学习。这些原则在心理学家和哲学家之间是众所周知的。什么是新的是非线性介性脑动力学的发展,通过混沌理论理解和模拟实施观察感知过程的神经活动的有意义模式的构建。在某些类别的机器人中,智能行为的原型硬件实现已经很明显。图案识别中的感觉皮质的混沌神经动力学已经准备好用于硬件实施例,这是在复杂和不可预测的环境中为生存和自主操作提供的眼睛,鼻子和耳朵所需的硬件实施例。

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