Exploration in the Complexity of Possible Life: Abstracting and Synthesizing the Principles of Living Systems - Proceedings of the German Workshop on Artificial Life (7th) Held in Jena, Germany on 26-28 Jul 2006

Abstract

Topics of the conference will cover the whole area of research in Artificial Life (AL), in particular: Modelling of biological processes, systems biology, adaptive behaviour, pattern recognition, perception and evolution of sensors, morphology and actuators, learning and intelligence in biological and artificial systems, complexity and its emergence in biological processes, self-organization in living and life-like systems (e.g. swarms, hypercycles, multicellular systems, artificial multi-agent systems), dynamics of information in living and life-like systems, application of principles of life (e.g. self-organization, evolution, adaptation, learning and intelligence) to the design of artificial systems and technical solutions (e.g. robots, hardware, and software), and epistemological foundations for sciences investigating living systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA455926

Entities

People

  • Peter Dittrich
  • Stefan Artmann

Organizations

  • Friedrich Schiller University Jena

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Biological Sciences
  • Cell Physiological Processes
  • Cells
  • Chemistry
  • Computational Biology
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Crystal Structure
  • Information Processing
  • Information Systems
  • Organizational Structure
  • Self Organizing Systems
  • Systems Biology
  • Two Dimensional

Readers

  • Academic Conference Management
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Nanocomposite Materials Science

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control