Evolving Visually Guided Behaviour in Hovering' Virtual Agents

Abstract

This report results from a contract tasking Institute of Ophthalmology as follows: The contractor will develop a series of models that will resolve visual ambiguity in progressively more complex situations. These will begin with the most simple reflectance of objects and at the end of the grant progress to correlated landscapes with competitive and co-evolving environmental interactions. This will be done through the analysis of neural networks using Bayesian Decision Theory.

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Document Details

Document Type
Technical Report
Publication Date
Aug 05, 2004
Accession Number
ADA433194

Entities

People

  • Ray B. Lotto

Organizations

  • University College London

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Ambiguity
  • Applied Computer Science
  • Biological Phenomena
  • Brain
  • Computer Science
  • Computers
  • Contracts
  • Environment
  • Illuminants
  • Illumination
  • Long Wavelengths
  • Neural Networks
  • Ophthalmology
  • Reflectance
  • Short Wavelengths
  • Statistics

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML