Symbol structures in connectionist networks : five properties and two architectures
journal contributionposted on 01.03.2010 by David S Touretzky, Mark Derthick, Artificial Intelligence and Psychology Project.
Any type of content formally published in an academic journal, usually following a peer-review process.
Abstract: "We define five properties of symbol representations (called the Five M's) that together provide a powerful and flexible symbol processing facility. Our ideal symbol structures are Mobile, Memorable, Meaningful, Malleable, and Modifiable. Conventional symbol processing architectures, such as Lisp on von Neumann machines, support some of these properties, but others seem to require flexibility and an ability to generalize that is unique to conectionist models. Two recently-developed connectionist architectures, BoltzCONS and micro-KLONE, are described in some detail. The representations used in these two architectures satisfy different subsets of the Five M's."