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 simple iterative computation that matches elements in one representation with elements playing compatible roles in the other representation while simultaneously enforcing structural constraints. CAB shows promise as a process model of comparison as its performance (...) can be related to human performance (e.g., solution trajectory, error patterns, time‐on‐task). Furthermore, CAB's bounded working memory allows it to account for the inherent capacity limitations of human processing. CAB's strengths are its parsimony, transparency of operations, and ability to generate performance predictions. In this paper, CAB is evaluated against benchmark phenomena from the analogy literature. (shrink)

Pickering & Garrod (P&G) suggest that communicators synchronize their processing at a number of linguistic levels. Whereas their explanation suggests that representations are being compared across individuals, there must be some representation of all conversation participants in each participant's head. At the level of the situation model, it is important to maintain separate representations for each participant. At other levels, it seems less crucial to have a separate representation for each participant. This analysis suggests that different mechanisms may synchronize representations (...) at different linguistic levels. (shrink)