Autonoesis and the Galilean science of memory: Explanation, idealization, and the role of crucial data

The Galilean explanatory style is characterized by the search for the underlying structure of phenomena, the positing of "deep" explanatory principles, and a view of the relation between theory and data, on which the search for "crucial data" is of primary importance. In this paper, I trace the dynamics of adopting the Galilean style, focusing on the science of episodic memory. I argue that memory systems, such as episodic and semantic memory, were posited as underlying competences producing the observable phenomena of memory. Considered in idealized isolation from other systems, episodic memory was taken to underlay the ability of individuals to remember events from their personal past. Yet, in reality, memory systems regularly interact, standing in many-to-many relations to actual memory tasks and experiences. Upon this backdrop, I explore a puzzle about the increasing prominence of the notion of autonoetic consciousness in Tulving's theory of episodic memory. I argue that, contrary to widespread belief, the prominence is not best explained by the purported essential link between autonoetic consciousness and episodic memory. Rather, it is explained by the fact that autonoetic consciousness, hypothesized to uniquely accompany episodic retrieval, was considered a source of crucial data, predictable only from theories positing a functionally distinct episodic memory system. However, with the emergence of a new generation of theories, positing wider memory systems for remembering and imagination, the question of the relation between episodic memory and autonoetic consciousness has been reopened. This creates a pressing need for de-idealization, triggering a new search for crucial data

Causation in Memory: Necessity, Reliability and Probability

In this paper, I argue that causal theories of memory are typically committed to two independent, non-mutually entailing theses. The first thesis pertains to the necessity of appropriate causation in memory, specifying a condition token memories need to satisfy. The second pertains to the explanation of memory reliability in causal terms and it concerns memory as a type of mental state. Post-causal theories of memory can reject only the first (weak post-causalism) or both (strong post-causalism) theses. Upon this backdrop, I examine Werning’s (2020) causalist argument from probabilistic correlation. I argue that it doesn’t establish the necessity of appropriate causation and thus it can only target strong post-causalist theories. I end up by presenting some general considerations, suggesting that memories may not always be causally linked to past experiences

Autonoesis and episodicity: Perspectives from philosophy of memory

The idea that episodic memory is distinguished from semantic memory by the fact that it involves autonoetic consciousness, initially introduced by Tulving, has been influential not only in psychology but also in philosophy, where a variety of approaches to autonoesis and to its relationship to episodicity have been developed. This article provides a critical review of the available philosophical approaches. Distinguishing among representational, metacognitive, and epistemic accounts of autonoesis, it considers these in relation to objective and subjective conceptions of episodicity and assesses them against immediacy and source criteria that any philosophical account of autonoesis should arguably aim to satisfy

A teoria simulacionista da memória é sobre simulação?

This essay investigates the notion of simulation and the role it plays in Kourken Michaelian's simulation theory of memory. I argue that the notion is importantly ambiguous and that this ambiguity may threaten some of the central commitments of the theory. To illustrate that, I examine two different conceptions of simulation: a narrow one (simulation as replication) and a broad one (simulation as computational modeling), arguing that the preferred narrow conception is incompatible with the claim that remembering involves the simulation of past episodes. Investigating possible solutions, I suggest that, despite some relatively serious consequences, the theory may be better off subscribing to the broad notion of simulation

Autonoesis and the Galilean science of memory: Explanation, idealization, and the role of crucial data

The Galilean explanatory style is characterized by the search for the underlying structure of phenomena, the positing of "deep" explanatory principles, and a view of the relation between theory and data, on which the search for "crucial data" is of primary importance. In this paper, I trace the dynamics of adopting the Galilean style, focusing on the science of episodic memory. I argue that memory systems, such as episodic and semantic memory, were posited as underlying competences producing the observable phenomena of memory. Considered in idealized isolation from other systems, episodic memory was taken to underlay the ability of individuals to remember events from their personal past. Yet, in reality, memory systems regularly interact, standing in many-to-many relations to actual memory tasks and experiences. Upon this backdrop, I explore a puzzle about the increasing prominence of the notion of autonoetic consciousness in Tulving's theory of episodic memory. I argue that, contrary to widespread belief, the prominence is not best explained by the purported essential link between autonoetic consciousness and episodic memory. Rather, it is explained by the fact that autonoetic consciousness, hypothesized to uniquely accompany episodic retrieval, was considered a source of crucial data, predictable only from theories positing a functionally distinct episodic memory system. However, with the emergence of a new generation of theories, positing wider memory systems for remembering and imagination, the question of the relation between episodic memory and autonoetic consciousness has been reopened. This creates a pressing need for de-idealization, triggering a new search for crucial data

On Episodic Memory: Preservation, Reconstruction, and Modeling

In this dissertation, I investigate episodic memory. I do so through the lens of the relationship between memory systems (functionally integrated cognitive structures) and the activity of remembering the personal past (supported by these structures and occurring in a variety of epistemic contexts). In Chapter 1, I present an empirical challenge to a class of theories that take episodic remembering to be characterized by the kind of relation it affords to unique personally experienced events. Against such theories, I argue that the episodic system also supports the construction of memories that are not about such unique events. In Chapter 2, I turn to the influential simulation theory, which characterizes remembering as a process of simulating past events, performed by a properly functioning episodic system. I argue that the system can be taken to simulate past events only on a broad (modeling) conception of simulation. Moreover, I propose that the theory introduces criteria of remembering success not linked to the satisfaction of the episodic system's proper function. In Chapter 3, I argue that declarative memory systems perform a distinctive activity analogous to triage: they manage information for a variety of uses under significant computational constraints. In such triage, representations are preferentially selected and stabilized, but also systematically modified and integrated into generalized, model-like representational structures. In Chapter 4, I offer a novel account of the episodic memory system. I argue that the system constructs mental event models: representations that 'aim' to preserve the (spatiotemporal) structure of represented events. In virtue of their simplicity and manipulability, the models can be used for remembering, but also in future-oriented and counterfactual imagination. In Chapter 5, I examine the relationship between these processes. Adopting a form of pluralism, I argue that the systemic connection between episodic remembering and imagination doesn't compel us to consider them processes of the same psychological kind. Finally, I propose that remembering successfully requires not only the possession of the right kind of memory systems but also the satisfaction of certain norms that govern the familiar epistemic practices of witnessing and testimony

Autonoesis and the Galilean science of memory: Explanation, idealization, and the role of crucial data

The Galilean explanatory style is characterized by the search for the underlying structure of phenomena, the positing of "deep" explanatory principles, and a view of the relation between theory and data, on which the search for "crucial data" is of primary importance. In this paper, I trace the dynamics of adopting the Galilean style, focusing on the science of episodic memory. I argue that memory systems, such as episodic and semantic memory, were posited as underlying competences producing the observable phenomena of memory. Considered in idealized isolation from other systems, episodic memory was taken to underlay the ability of individuals to remember events from their personal past. Yet, in reality, memory systems regularly interact, standing in many-to-many relations to actual memory tasks and experiences. Upon this backdrop, I explore a puzzle about the increasing prominence of the notion of autonoetic consciousness in Tulving's theory of episodic memory. I argue that, contrary to widespread belief, the prominence is not best explained by the purported essential link between autonoetic consciousness and episodic memory. Rather, it is explained by the fact that autonoetic consciousness, hypothesized to uniquely accompany episodic retrieval, was considered a source of crucial data, predictable only from theories positing a functionally distinct episodic memory system. However, with the emergence of a new generation of theories, positing wider memory systems for remembering and imagination, the question of the relation between episodic memory and autonoetic consciousness has been reopened. This creates a pressing need for de-idealization, triggering a new search for crucial data