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Amorphous computing considers the problem of controllingmillions of spatially distributed unreliable devices which communicateonly with nearby neighbors. To program such a system, we need a highleveldescription language ...

Programming reliable behavior on a large mesh network composed of unreliable parts is difficult. Amorphous Medium Language addresses this problem by abstracting robustness and networking issues away from the programmer via ...

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 ...

The ability to control emergent phenomena depends on decomposingthem into aspects susceptible to independent engineering. Forspatial self-managing systems, the amorphous-medium abstraction lets youseparate the systemÂ’s ...

We can evaluate models of natural intelligence, as well as theirindividual components, by using a model of hardware and developmentcosts, ignoring almost all the details of biology. The basic argumentis that neither the ...

A spatial computer is a collection of devices filling spacewhose ability to interact is strongly dependent on theirproximity. Previously, we have showed that programmingsuch a computer as a continuous space can allow ...

Many programming domains involve the manipulation of values distributed through a manifold - examples include sensor networks, smart materials, and biofilms. This paper describes a programming semantics for manifolds based ...

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 ...

We propose a method for the robust implementation of simple graphical automataon an amorphous computer. This infrastructure is applied to the implementationof purely functional programming languages. Specifically, it is ...

Current modularization techniques fail when applied to hard AI problems.But cognitive science shows that the mind has modules specialized for particular functions.Unlike current engineered modules, the modules of themind ...