Connectionism

"Connectionism is an approach in the fields of artificial intelligence, [information science], cognitive science, neuroscience, psychology and philosophy of mind. Connectionism models mental or behavioral phenomena as the emergent processes of interconnected networks of simple units. There are many different forms of connectionism, but the most common forms utilize neural network models. " (Wikipedia, 2006).

Literature:

Chen, H & Ng, T. (1995). An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation) - Symbolic branch and bound search versus connectionist hopfield activation. Journal of the American Society for Information Science, 46(5), 348-369.

Dominich, S. (2003). Connectionist interaction information retrieval. Information Processing & Management, 39(2), 167-193.

Doszkocs, T. E.; Reggia, J. & Lin, X. (1990). Connectionist models and information retrieval. Annual Review of Information Science and Technology, 25, 209-262.

Metzler, D. P. (1990). Connectionist and symbolic information processing: A critical analysis and suggested research agenda for connectionism from the symbolic perspective. Proceedings of the ASIS annual meeting, 27, 261-278.

Moya-Anegon, F.; Herrero-Solana, V. & Jimenez-Contreras, E. (2006). A connectionist and multivariate approach to science maps: the SOM, clustering and MDS applied to library science research and information. Journal of Information Science, 32(1), 63-77.

Wikipedia. The free encyclopedia. (2006). Connectionism. http://en.wikipedia.org/wiki/Connectionism