𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Interacting neural networks and the emergence of social structure

✍ Scribed by Christina Stoica-Klüver; Jürgen Klüver


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
171 KB
Volume
12
Category
Article
ISSN
1076-2787

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Explorations in bibliometric historiogra
✍ Katherine W. McCain 📂 Article 📅 2006 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 331 KB

Artificial Neural Networks (ANN) emerged from exile in the early 1980s as an interdisciplinary field drawing on findings from biology, psychology, computer science (McCain & Whitney, 1994). An earlier generation of research had essentially foundered when Rosenblatt's Perceptron (an early neural netw

Self averaging and the space of interact
✍ Michel Talagrand 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 197 KB 👁 2 views

We prove through a precise exponential inequality that the logarithm of the N Ž size of the intersection of M random half spaces with the unit sphere of ‫ޒ‬ resp., the Ä 4 N . discrete cube y1, 1 is, as N ª ϱ, a self averaging quantity. This provides justification for w Ž . x one of the first steps

Life-course events, social networks, and
✍ Mark S. Fleisher; Jessie L. Krienert 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 111 KB

## Abstract Using data gathered from a multi‐year field study, this article identifies specific life‐course events shared by gang‐affiliated women. Gangs emerge as a cultural adaptation or pro‐social community response to poverty and racial isolation. Through the use of a social‐network approach, d

The network as knowledge: generative rul
✍ Bruce Kogut 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 150 KB

The imputation problem is how to account for the sources of the value of the firm. I propose that part of the value of the firm derives from its participation in a network that emerges from the operation of generative rules that instruct the decision to cooperate. Whereas the value of firm-level cap