de Llanza Varona Miguel, Martínez Manolo
School of Engineering and Informatics, University of Sussex, Brighton BN1 9RH, UK.
Philosophy Department, Universitat de Barcelona, 08001 Barcelona, Spain.
Entropy (Basel). 2024 Aug 21;26(8):708. doi: 10.3390/e26080708.
A typical claim in anti-representationalist approaches to cognition such as ecological psychology or radical embodied cognitive science is that ecological information is sufficient for guiding behavior. According to this view, affordances are immediately perceptually available to the agent (in the so-called "ambient energy array"), so sensory data does not require much further inner processing. As a consequence, mental representations are explanatorily idle: perception is immediate and direct. Here we offer one way to formalize this direct-perception claim and identify some important limits to it. We argue that the claim should be read as saying that successful behavior just implies picking out affordance-related information from the ambient energy array. By relying on the Partial Information Decomposition framework, and more concretely on its development of the notion of synergy, we show that in multimodal perception, where various energy arrays carry affordance-related information, the "just pick out affordance-related information" approach is very inefficient, as it is bound to miss all synergistic components. Efficient multimodal information combination requires transmitting sensory-specific (and not affordance-specific) information to wherever it is that the various information streams are combined. The upshot is that some amount of computation is necessary for efficient affordance reconstruction.
在诸如生态心理学或激进的具身认知科学等反表征主义认知方法中,一个典型的主张是生态信息足以指导行为。根据这种观点,可供性对于主体来说是直接可感知的(在所谓的“环境能量阵列”中),所以感官数据不需要太多进一步的内部处理。因此,心理表征在解释上是多余的:感知是直接且即时的。在此,我们提供一种将这种直接感知主张形式化的方法,并指出其一些重要的局限性。我们认为,该主张应理解为成功的行为仅仅意味着从环境能量阵列中挑选出与可供性相关的信息。通过依赖部分信息分解框架,更具体地说是依赖其协同概念的发展,我们表明在多模态感知中,各种能量阵列都携带与可供性相关的信息,“仅仅挑选出与可供性相关的信息”这种方法效率非常低,因为它必然会遗漏所有协同成分。高效的多模态信息组合需要将特定于感官(而非特定于可供性)的信息传输到各种信息流进行组合的地方。结果是,为了高效地重构可供性,一定量的计算是必要的。