title: Neural voting machines.
abstract: A "Winner-take-all" network is a computational mechanism for picking an alternative with the largest excitatory input. This choice is far from optimal when there is uncertainty in the strength of the inputs, and when information is available about how alternatives may be related. For some time, the Social Choice community has recognized that many other procedures will yield more robust winners. The Borda Count and the pair-wise Condorcet tally are among the most favored. If biological systems strive to optimize information aggregation, then it is of interest to examine the complexity of networks that implement these procedures. We offer two biologically feasible implementations that are relatively simple modifications of classical recurrent networks.
authors.affiliation: Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA 02139, USA. wrichards@mit.edu
authors.forename: Whitman
authors.initials: W
authors.lastname: Richards
authors.forename: H Sebastian
authors.initials: HS
authors.lastname: Seung
authors.forename: Galen
authors.initials: G
authors.lastname: Pickard
mesh_terms: D002755:Choice Behavior / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D016571:Neural Networks, Computer; D012919:Social Behavior