Category: Science
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Mapping interactions between adversity and neuroplasticity across development
“Mapping interactions between adversity and neuroplasticity across development” Highlights: The human brain undergoes a protracted course of development that provides prolonged opportunities to be sculpted by experience. Yet, persistent definitional and measurement challenges have complicated efforts to understand how experience interacts with neuroplasticity during human development. Here, we synthesize previously siloed perspectives to propose an…
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Statistics is not measurement
“Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences” This article provides a comprehensive critique of psychology’s overreliance on statistical modelling at the expense of epistemologically grounded measurement processes. It highlights that statistics deals with structural relations in data regardless of what these data represent, whereas measurement…
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Why collective behavioursself-organize to criticality
“Why collective behaviours self-organize to criticality: a primer on information-theoretic and thermodynamic utility measures” Collective behaviours are frequently observed to self‑organize to criticality. Existing proposals to explain these phenomena are fragmented across disciplines and only partially answer the question. This primer compares the underlying, intrinsic, utilities that may explain the self‑organization of collective behaviours near…
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Stubborn Goals: the adaptive value
“The adaptive value of stubborn goals” Humans exhibit a striking tendency to persist with chosen goals. This strong attachment to goals can often appear irrational – a perspective captured by terms such as perseverance or sunk-cost biases. In this review, we explore how goal commitment could stem from several adaptive mechanisms, including those that optimise…
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Blocking of associative learning by explicit descriptions
“Blocking of associative learning by explicit descriptions” People given written descriptions often learn and decide differently from those learning from experience, even in formally identical tasks. This paper presents two experiments detailing how telling participants about the value of one stimulus impacts a keystone learning effect – blocking. The paper investigates if descriptions can be…
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Fast, slow, & metacognitive
“Fast, slow, and metacognitive thinking in AI” Inspired by the ”thinking fast and slow” cognitive theory of human decision making, we propose a multi-agent cognitive architecture (SOFAI) that is based on ”fast”/”slow” solvers and a metacognitive module. We then present experimental results on the behavior of an instance of this architecture for AI systems that…
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Computational Framework for cognitive biology
“Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” Progress in understanding cognition requires a quantitative, theoretical framework, grounded in the other natural sciences and able to bridge between implementational, algorithmic and computational levels of explanation. This review article reviews recent results in neuroscience and cognitive biology that, when combined, provide key components…
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