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Generating Communications Systems Through Shared Context
(2002-01-01)
In a distributed model of intelligence, peer components need to communicate with one another. I present a system which enables two agents connected by a thick twisted bundle of wires to bootstrap a simple communication ...
Leaderless Distributed Hierarchy Formation
(2002-12-01)
I present a system for robust leaderless organization of an amorphous network into hierarchical clusters. This system, which assumes that nodes are spatially embedded and can only talk to neighbors within a given radius, ...
RamboNodes for the Metropolitan Ad Hoc Network
(2003-12-17)
We present an algorithm to store data robustly in a large, geographically distributed network by means of localized regions of data storage that move in response to changing conditions. For example, data might migrate away ...
Leveraging Learning and Language Via Communication Bootstrapping
(2003-03-17)
In a Communication Bootstrapping system, peer components with different perceptual worlds invent symbols and syntax based on correlations between their percepts. I propose that Communication Bootstrapping can also be ...
A Robust Amorphous Hierarchy from Persistent Nodes
(2003-05-01)
For a very large network deployed in space with only nearby nodes able to talk to each other, we want to do tasks like robust routing and data storage. One way to organize the network is via a hierarchy, but hierarchies ...
Near-Optimal Distributed Failure Circumscription
(2003-08-11)
Small failures should only disrupt a small part of a network. One wayto do this is by marking the surrounding area as untrustworthy ---circumscribing the failure. This can be done with a distributedalgorithm using ...
An Algorithm for Bootstrapping Communications
(2001-08-13)
I present an algorithm which allows two agents to generate a simple language based only on observations of a shared environment. Vocabulary and roles for the language are learned in linear time. Communication is robust and ...
Learning From Snapshot Examples
(2005-04-13)
Examples are a powerful tool for teaching both humans and computers.In order to learn from examples, however, a student must first extractthe examples from its stream of perception. Snapshot learning is ageneral approach ...
RamboNodes for the Metropolitan Ad Hoc Network
(2003-12-17)
We present an algorithm to store data robustly in a large, geographically distributed network by means of localized regions of data storage that move in response to changing conditions. For example, data might migrate away ...
Biologically-Inspired Robust Spatial Programming
(2005-01-18)
Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected ...