Uploaded September 2021 | Updated September 2026, 1 week ago
[full title] Efficient representation, learning, and planning through abstraction: clustering cognitive spaces into submaps
Ila Fiete, MIT
Abstract: Episodic memory involves fragmenting the continuous stream of experience into discrete episodes. Not coincidentally, the hippocampus, which plays a central role in both episodic memory and spatial navigation, represents large spatial environments in a fragmented way even when explored in a continuous trajectory. In non-spatial and non-memory contexts too, humans report sudden contextual re-anchoring or re-orientation when reading garden path sentences (“Time flies like an arrow, fruit flies like a banana.") or watching a movie with viewpoint changes. In this talk, I will describe a theory for the online and real-time generation of fragmented representations and contextual re-anchoring from continuous experience that resemble those obtained by principled but offline and computationally complex information-based algorithms. The resulting fragmentations closely match those observed from neural recordings in animals navigating through complex environments. I will discuss the utility of map fragmentation, as a form of state abstraction that enables representation fidelity, flexible and rapid learning through reuse of existing fragments, and many-fold improvements in the ability to plan and navigate through complex environments relative to more global representations.
[full title] Efficient representation, learning, and planning through abstraction: clustering cognitive spaces into submaps
Ila Fiete, MIT
Abstract: Episodic memory involves fragmenting the continuous stream of experience into discrete episodes. Not coincidentally, the hippocampus, which plays a central role in both episodic memory and spatial navigation, represents large spatial environments in a fragmented way even when explored in a continuous trajectory. In non-spatial and non-memory contexts too, humans report sudden contextual re-anchoring or re-orientation when reading garden path sentences (“Time flies like an arrow, fruit flies like a banana.") or watching a movie with viewpoint changes. In this talk, I will describe a theory for the online and real-time generation of fragmented representations and contextual re-anchoring from continuous experience that resemble those obtained by principled but offline and computationally complex information-based algorithms. The resulting fragmentations closely match those observed from neural recordings in animals navigating through complex environments. I will discuss the utility of map fragmentation, as a form of state abstraction that enables representation fidelity, flexible and rapid learning through reuse of existing fragments, and many-fold improvements in the ability to plan and navigate through complex environments relative to more global representations.
