CAB: Connectionist Analogy Builder

CAB: Connectionist Analogy Builder

The ability to make informative comparisons is central to human cognition. Comparison involves aligning two representations and placing their elements into correspondence. Detecting correspondences is a necessary component of analogical inference, recognition, categorization, schema formation, and similarity judgment. Connectionist Analogy Builder (CAB) determines correspondences through a simp...

Connectionist Modeling of Part-Whole Analogy Learning

Analogical reasoning, along with inductive, deductive or abductive reasoning, belongs to the fundamental human mechanisms for the environment exploration, learning, or problem solving. Modeling this ability using computer simulations is important, as it might offer mechanistic explanation of these phenomena. In this work, we focus on the part–whole analogies in a separation task where the analo...

Implicit Analogy-Making: A Connectionist Exploration

Most everyone, including the experts, would agree that analogy-making is best defined as a process that creates a mapping between items in one domain (often called the source) to "similar" items in another (often called the target). Based on this definition, many researchers have attempted to model analogy-making by creating a mapping between two sets of data structures that represent the domai...

Analogy--Watershed or Waterloo? Structural alignment and the development of connectionist models of analogy

Neural network models have been criticized for their inability to make use of compositional representations . In this paper, we describe a series of psychological phenomena that demonstrate the role of structured representations in cognition . These findings suggest that people compare relational representations via a process of structural alignment . This process will have to be captured by an...

An Arabidopsis cab gene homologous to Cab-8 of tomato.