The structure of human memory seems to be optimized for efficient prediction, planning, and
behavior. We propose that these capacities rely on a tripartite structure of memory that …

Strong AI—artificial intelligence that is in all respects at least as intelligent as humans—is
still out of reach. Current AI lacks common sense, that is, it is not able to infer, understand, or …

This paper proposes how various disciplinary theories of cognition may be combined into a
unifying, sub-symbolic, computational theory of cognition. The following theories are …

Abstract In line with Allen Newell's challenge to develop complete cognitive architectures,
and motivated by a recent proposal for a unifying subsymbolic computational theory of …

We introduce a novel framework for option discovery and learning transfer in complex
domains that are represented as object-oriented Markov decision processes (OO …

Voluntary behavior of humans appears to be composed of small, elementary building
blocks, or behavioral primitives. While this modular organization seems crucial for the …

The spatial specificities of hippocampal place cells, ie, their firing fields, are subject to
change if the rat enters a new compartment in the experimental maze. This effect is known …

As the Internet continues to get stronger, so does the potential risk of malicious users trying
to harm others. An intrusion detection system (IDS) can be used to alert the appropriate …

The general idea that brains anticipate the future, that they engage in prediction, and that
one means of doing this is through some sort of inner model that can be run of? ine …

This article investigates how a motivational module can drive an animat to learn a
sensorimotor cognitive map and use it to generate flexible goal-directed behavior. Inspired …