Sentient Networks
George Chapline
Abstract
In this paper we consider the question whether a distributed network of sensors and data processors can form "perceptions" based on the sensory data. Because sensory data can have exponentially many explanations, the use of a central data processor to analyze the outputs from a large ensemble of sensors will in general introduce unacceptable latencies for responding to dangerous situations. A better idea is to use a distributed "Helmholtz machine" architecture in which the collective state of the network as a whole provides an explanation for the sensory data.
Create a lesson
Related papers
Amplifying Phenomenal Information: Toward a Fundamental Theory of Consciousness
L. Gabora
Cumulant Dynamics of a Population under Multiplicative Selection, Mutation and Drift
Magnus Rattray, Jonathan L. Shapiro
A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions
Giulia Iori
Number-conserving cellular automaton rules
Nino Boccara, Henryk Fuks
The Importance of Being Discrete - Life Always Wins on the Surface
Nadav M. Shnerb, Yoram Louzoun, Eldad Bettelheim et al.
Fitness versus Longevity in Age-Structured Population Dynamics
W. Hwang, P. L. Krapivsky, S. Redner