This paper aims to reconfigure the place of memory in epistemology. I start by rethinking the problem that memory systems solve; rather than merely functioning to store information, I argue that the core function of any memory system is to support accurate and relevant retrieval. This way of specifying the function of memory has consequences for which structures and mechanisms make up a memory system. In brief, memory systems are modeling systems. This means that they generate, update and manage a series of overlapping, simplified, relational representations that map out features of the world. Succeeding at building and maintaining models requires the kind of active knowledge generation traditionally associated only with deliberative reasoning.
Sometimes, we face choices between actions most likely to lead to valuable outcomes, and actions which put us in a better position to learn. These choices exemplify what is called the exploration/exploitation trade-off. In computer science and psychology, this trade-off has fruitfully been applied to modulating the way agents or systems make choices over time. This article extends the trade-off to belief. We can be torn between two ways of believing, one of which is expected to be more accurate in light of current evidence, whereas the other is expected to lead to more learning opportunity and accuracy in the long run. Further, it is sometimes rationally permissible to choose the latter. The article breaks down the features of action which give rise to the trade-off, and then argues that each feature applies equally well to belief. This conclusion is an instance of a systematic, foreseeable way in which what is rational to believe now depends on what one expects to be doing in the future. That is, epistemic rationality fundamentally concerns time.
People often answer why-questions with what we call experiential explanations: narratives or stories with temporal structure and concrete details. In contrast, on most theories of the epistemic function of explanation, explanations should be abstractive: structured by general relationships and lacking extraneous details. We suggest that abstractive and experiential explanations differ not only in level of abstraction, but also in structure, and that each form of explanation contributes to the epistemic goals of individual learners and of science. In particular, experiential explanations support mental simulation and survive transitions across background theories; as a result, they support learning and help us translate between competing frameworks. Experiential explanations play an irreducible role in human cognition-and perhaps in science.
Episodic and semantic memory are often taken to be fundamentally di erent mental systems, and contemporary philosophers often pursue research questions about episodic memory, in particular, in isolation from semantic memory. This paper challenges that assumption, and puts pressure on philosophical approaches to memory that break o episodic memory as its own standalone topic. I present and systematize psychological and neuroscienti c theories of semanticization, the thesis that memory content tends to drift from episodic to semantic in structure over time and exposure to an environment. Semanticization, I argue, is a long-term interconnection between episodic and semantic systems that requires approaching both the content and function of these two memory systems as a whole. Thus we have a reason to reject projects by Michael Martin, which aims to carve out a uniquely episodic memory content, and Kourken Michaelian, which pairs episodic memory to its own unique function. Instead, seeing declarative memory as a single system with two facets or even a continuum of features allows for deeper insight into both content and function.
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