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Processing bias: extending sensory drive to include efficacy and efficiency in information processing

机译:处理偏差:扩展感官驱动力使其在信息处理中包括功效和效率

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摘要

Communication signals often comprise an array of colours, lines, spots, notes or odours that are arranged in complex patterns, melodies or blends. Receiver perception is assumed to influence preference and thus the evolution of signal design, but evolutionary biologists still struggle to understand how perception, preference and signal design are mechanistically linked. In parallel, the field of empirical aesthetics aims to understand why people like some designs more than others. The model of processing bias discussed here is rooted in empirical aesthetics, which posits that preferences are influenced by the emotional system as it monitors the dynamics of information processing and that attractive signals have effective designs that maximize information transmission, efficient designs that allow information processing at low metabolic cost, or both. We refer to the causal link between preference and the emotionally rewarding experience of effective and efficient information processing as the processing bias, and we apply it to the evolutionary model of sensory drive. A sensory drive model that incorporates processing bias hypothesizes a causal chain of relationships between the environment, perception, pleasure, preference and ultimately the evolution of signal design, both simple and complex.
机译:通信信号通常包括以复杂的图案,旋律或混合形式排列的颜色,线条,斑点,音符或气味的阵列。假设接收者的感知会影响偏好,进而影响信号设计的发展,但是进化生物学家仍然难以理解感知,偏好和信号设计是如何机械联系在一起的。同时,经验美学领域旨在理解人们为什么更喜欢某些设计。这里讨论的处理偏差模型源于经验美学,它认为偏好受情感系统的影响,因为它监控信息处理的动态,有吸引力的信号具有使信息传输最大化的有效设计,使信息处理处于有效状态的有效设计。代谢成本低,或两者兼而有之。我们将偏好与有效和高效信息处理的情感奖励经验之间的因果联系称为处理偏差,并将其应用于感官驱动的进化模型。结合处理偏差的感官驱动模型假设环境,感知,愉悦,偏好以及最终的信号设计(简单和复杂)之间的因果关系链。

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