The authors present a theory of how relational inference and generalization can be
accomplished within a cognitive architecture that is psychologically and neurally realistic …

Relational thinking plays a central role in human cognition. However, it is not known how
children and adults acquire relational concepts and come to represent them in a form that is …

This article describes an integrated theory of analogical access and mapping, instantiated in
a computational model called LISA (Learning and Inference with Schemas and Analogies) …

Connectionist models appear to provide a new and different framework for understanding
cognition. It is therefore natural to wonder how these models might differ from traditional …

A variety of ideas, approaches, and techniques exist--in terms of both architecture and
learning--and this abundance seems to lead to many exciting possibilities in terms of …

Five experiments were performed to test whether participants induced a coherent
representation of the structure of a task, called a relational schema, from specific instances …

Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a
novel model-based theory of such reasoning. The theory depends on 5 principles.(a) The …

Human mental representations are both flexible and structured—properties that, together,
present challenging design requirements for a model of human thinking. The Learning and …

Much of humankind's remarkable mental aptitude can be attributed to analogical ability-the
ability to perceive and use relational similarity. In this chapter, we present an overview of …

The performance of symbolic inference tasks has long been a challenge to connectionists. In
this paper, we present an extended survey of this area. Existing connectionist inference …