Episodic memory is memory for past events. It’s characteristically associated with an experience of ‘mentally replaying’ one’s experiences in the mind’s eye. This biological phenomenon has inspired the development of several ‘experience replay’ algorithms in AI. In this chapter, I ask whether experience replay algorithms might shed light on a puzzle about episodic memory’s function: what does episodic memory contribute to the cognitive systems in which it is found? I argue that experience replay algorithms can serve as idealized models of (...) episodic memory for the purposes of addressing this question. Taking the DQN algorithm as a case study, I suggest that these algorithms provide some support for mnemonic accounts, on which episodic memory’s function lies in the storage, encoding and retrieval of information. By extending and adapting experience replay algorithms, we might gain further insight into episodic memory’s operations and contributions to cognition. (shrink)

The imagery we adopt when recalling the personal past may involve different perspectives. In many cases, we remember the past event from our original point of view. In some cases, however, we remember the past event from an external “observer” perspective and view ourselves in the remembered scene. Are such observer perspective images genuine memories? Are they accurate representations of the personal past? This chapter focuses on such observer perspectives in memory, and outlines and examines proposals about the nature of (...) such imagery. (shrink)