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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Published on: October 14, 2017

The ulam Programming Language for Artificial Life.

David H Ackley¹, Elena S Ackley²

¹University of New Mexico.

Artificial Life

|November 9, 2016

Summary

This summary is machine-generated.

This study introduces ulam, a programming language for unreliable hardware. Ulam uses lifelike strategies to enable robust and scalable computations on best-effort systems, moving beyond traditional deterministic models.

Keywords:

Robust first computing asynchronous cellular automata best effort computing movable feast machine

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Area of Science:

Computer Science
Computational Biology
Software Engineering

Background:

Traditional computing relies on perfect hardware, which is increasingly costly for large systems.
Living systems exhibit resilience by repairing structures on fallible hardware, offering a model for computation.
Current programming paradigms struggle with architectures lacking deterministic execution.

Purpose of the Study:

Introduce ulam, a novel programming language.
Enable robust and scalable computations on best-effort hardware.
Explore lifelike strategies for programming unreliable systems.

Main Methods:

Design of the ulam programming language.
Development of the active-media computational model.
Application of lifelike strategies for fault tolerance and concurrency.

Main Results:

Ulam balances concurrency and programmability on best-effort hardware.
Demonstration of robust and scalable computations using lifelike strategies.
Exploration of software engineering principles for unreliable architectures.

Conclusions:

Ulam provides a viable approach for computing on unreliable hardware.
Lifelike strategies are effective for achieving robustness in computational systems.
The coupling between computational models and physical implementation is crucial for system design.