Many recent AI systems take inspiration from biological episodic memory. Here, we ask how these ‘episodic-inspired’ AI systems might inform our understanding of biological episodic memory. We discuss work showing that these systems implement some key features of episodic memory whilst differing in important respects, and appear to enjoy behavioural advantages in the domains of strategic decision-making, fast learning, navigation, exploration and acting over temporal distance. We propose that these systems could be used to evaluate competing theories of episodic memory’s (...) operations and function. However, further work is needed to validate them as models of episodic memory and isolate the contributions of their memory systems to their behaviour. More immediately, we propose that these systems have a role to play in directing episodic memory research by highlighting novel or neglected hypotheses as pursuit-worthy. In this vein, we propose that the evidence reviewed here highlights two pursuit-worthy hypotheses about episodic memory’s function: that it plays a role in planning that is independent of future-oriented simulation, and that it is adaptive in virtue of its contributions to fast learning in novel, sparse-reward environments. (shrink)

Though researchers working on congenital aphantasia (henceforth “aphantasia”) agree that this condition involves an impairment in the ability to voluntarily generate visual imagery, disagreement looms large as to which other impairments are exhibited by aphantasic subjects. This article offers the first extensive review of studies on aphantasia, and proposes that aphantasic subjects exhibit a cluster of impairments. It puts forward a novel cognitive theory of aphantasia, building on the constructive episodic simulation hypothesis of memory and imagination. It argues that aphantasia (...) is best explained as a malfunction of processes in the episodic system, and is therefore an episodic system condition. (shrink)

This chapter focuses on the role of the imagination in creativity, using aphantasia as a case study. It first distinguishes between imagination and mental imagery, before giving an overview of what we know about aphantasia to date, focusing in particular on findings pertaining to creativity, imagination, and memory. It then turns to the role of the imagination in creativity, agreeing with philosophers that the imagination plays an essential role in creativity, which allows individuals to imagine a multitude of possibilities. This (...) view is then supplemented with a theory of the neuro-cognitive underpinnings of the imagination, whereby both the imagination and memory are supported by the same neural network – the default mode network. Finally, the chapter argues that this fuller picture allows us to understand the creative abilities of people with aphantasia, thoroughly resisting the thought that they might generally be unimaginative or uncreative. (shrink)

In recent works, Kind has argued that imagination is a skill, since it possesses the two hallmarks of skill: improvability by practice, and control. I agree with Kind that and are indeed hallmarks of skill, and I also endorse her claim that imagination is a skill in virtue of possessing these two features. However, in this paper, I argue that Kind’s case for imagination’s being a skill is unsatisfactory, since it lacks robust empirical evidence. Here, I will provide evidence for (...) by considering data from mental rotation experiments and for by considering data from developmental experiments. I conclude that imagination is a skill, but there is a further pressing question of how the cognitive architecture of imagination has to be structured to make this possible. I begin by considering how can be implemented sub-personally. I argue that this can be accounted for by positing a selection mechanism which selects content from memory representations to be recombined into imaginings, using Bayesian generation. I then show that such an account can also explain. On this basis, I hold that not only is imagination a skill, but that it is also plausibly implemented sub-personally by a Bayesian selection mechanism. (shrink)

Drawing on a pluralist approach to mindreading, I explore Direct Social Perception with respect to perceiving the emotional states of people that we are close to, such as spouses, friends, and family. I argue that in general, emotions are embodied and can be perceived directly. I further claim that perceptual content includes concepts. That is, I argue against a non-conceptual view of emotion recognition, claiming instead that we learn emotional concepts by attending to certain expressive patterns of emotions. This view (...) implicates that we can directly perceive both basic and non-basic emotions of people we are close to. (shrink)