Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409743 | Neurocomputing | 2012 | 8 Pages |
Abstract
Binding – the ability to combine two or more modal representations of the same entity into a single shared representation – is vital for every cognitive system operating in a complex environment. In order to successfully adapt to changes in a dynamic environment the binding mechanism has to be supplemented with cross-modal learning. In this paper we define the problems of high-level binding and cross-modal learning. By these definitions we model a binding mechanism in a Markov logic network and define its role in a cognitive architecture. We evaluate a prototype binding system off-line, using three different inference methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alen Vrečko, Aleš Leonardis, Danijel Skočaj,