Autonomous Knowledge Acquisition

Autonomous knowledge acquisition is an AI term, referring to any cognitive AI system that seeks out input on its own volition, and without being explicitly programmed to. That AI must then act on the data gathered by its sensory systems, analysing and drawing its own conclusions ? expressly not ones pre-programmed into it.

The AI then makes a decision based both on the data it has collected and its own prior experience with similar data, and decides for itself, what to do next.

This is an advanced AI self-teaching process, and one, which modern AI has mastered to varying degrees.

It is often used when an advanced AI is put in a new body for the first time ? the AI learns its capabilities in that body, the same way a new-born baby does. Trialling what works and what does not. It teaches itself in a way no programmer ever could.

See Also: Cognitive AI, Machine Consciousness, Artificial Consciousness Learning By Imitation, AGI, A-Life, AI

Below, we offer a selection of links from our resource databases which may match this term.

Autonomous Knowledge Acquisition Learning By Imitation

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Machina Speculatrix: The very first Autonomous Robots
For all those claiming that autonomous robotics willnot be here for decades. In the 1950s, William Grey Walter built the very first, truly autonomous robots.

Autonomous Shrapnel Remover
We are still a long way from an autonomous robot surgeon in general surgery, but perhaps not as far removed as it was believed. Bioengineers at Duke University have developed a laboratory robot that can successfully locate tiny pieces of metal within flesh and guide a needle to its exact location, without any human assistance.

Indoor Totally-Autonomous UAV Plane
Researchers working at MIT have cracked one of the most difficult challenges in autonomous aircraft sensing and AI to crop up since self-piloting aircraft first came about. They have devised a method whereby fast-flying UAV planes can detect their environment and react swiftly enough to be able to fly indoors, dodging both static and moving obstacles as effortlessly as any human pilot could.

3D Matrix Math Demystified
This article assumes some knowledge of matrices, the above article would be enough, and proceeds to show some better ways of utilising them for 3D use.

Bio-inspired Flying Robots: Experimental Synthesis of Autonomous Indoor Flyers

This book demonstrates how bio-inspiration can lead to fully autonomous flying robots without relying on external aids. Most existing aerial robots fly in open skies, far from obstacles, and rely on external beacons ? mainly GPS ? to localise and navigate. However, these robots are not able to fly at low altitude or in confined environments, and yet this poses absolutely no difficulty to insects. Indeed, flying insects display efficient flight control capabilities in complex environments despite their limited weight and relatively tiny brain size.

Large Image Display: The Stepford Wives: Soulless Automation
A scene from 'The Stepford Wives' in which the robotic skin is shown to Joanna for the first time; along with the knowledge that she will soon be inside it, whether she wishes it or not. This plays on the submersion of humanity within the machine, and also the uncanny valley.

Conquering 3d Graphics: Creating Interactive Digital 3-D Actors and Their Worlds

This book is designed for 3-D artists and Web designers who are able to produce interactive 3-D content on their desktop without any prior knowledge of programming. The book uses LifeForms, Virtools and Deep Paint 3-D. It comes with a CD, with most of these tools on it, to aid the reader.

Artificial Memories Placed in an Organic Brain
A proof of concept set of experiments demonstrates that with the aid of optogenetic neuroprosthetics, memory transferance between individuals is actually possible. This proof of concept also means that encoding downloadable knowledge as a set of memory engram activation patterns is at least possible.

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