The past, present, and future of artificial life Article review - - PowerPoint PPT Presentation

the past present and future of artificial life
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The past, present, and future of artificial life Article review - - PowerPoint PPT Presentation

Wendy Aguilar, Guillermo Santamara-Bonfil, Tom Froese and Carlos Gershenson The past, present, and future of artificial life Article review MSIIS 2014 Krisztin Kos Emergence of artificial life What makes the living different from the


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Wendy Aguilar, Guillermo Santamaría-Bonfil, Tom Froese and Carlos Gershenson

The past, present, and future of artificial life

Article review MSIIS 2014 Krisztián Koós

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Emergence of artificial life

  • What makes the living different from the non-

living?

– Trend in mid-1980 – Build life in order to understand it better

  • This article reviews artificial life

– Classified into 14 themes

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The past

  • Google for 'artificial life' in time (Ngram Viewer)

– Frequency jumps between 1986-1997 – High peek in 1821 – how?

  • Frankenstein
  • Can we make living creatures? What are the

conditions of life?

– Creatures in mythology (Greek, Mayan, etc.)

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The present

  • 1. What is artificial life?
  • Langton:

– “life made by man rather than by nature,” - problematic definition – “artificial life” and “biology” should not differ

  • Bedau:

– interdisciplinary study of life and life-like processes – “Soft”: simulations – “Hard”: hardware – “Wet”: synthesizes living systems from biochemical substances

  • ALife: currently it means artificial life
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  • 2. Origins of life
  • Approaches

– Metabolism-first (chemical change in cells) – Replicator-first

  • (hen or egg)
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  • 3. Autonomy
  • ~Self-maintenance
  • In robotics

– Move and interact – Without depending on remote control

  • Degree of autonomy
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  • 4. Self-Organization
  • Local interactions lead to global behaviors

– Traffic, swarms

  • Special cases:

– Self-replication – Self-maintenance – Self-assembly

  • e.g. self-reconfigurating robots
  • Recently

– Cognitive science – Systems adapting to unforeseen circumstances

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  • 5. Adaptation
  • Definition

– A change – As a response – To fulfill goals

  • Adaptation time scales

– Low – evolution – Medium – development – Fast – learning

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5.1 Evolution

  • Genetic algorithms

– Searches for a global minimum

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5.2 Development

  • Some computational models:

– Neural networks – Bayesian networks

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5.3 Learning

  • No agreed definition
  • Several approaches in machine learning

– Neural networks – Reinforcement learning

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  • 6. Ecology
  • Interactions

– between individuals from different species – with their environment

  • ALife ecological models:

– Resource management – Land-use

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  • 7. Artificial Societies
  • Interactions of individuals of the same species
  • Topics:

– Game theory: prisoner's dilemma – Evolution of language and communication

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  • 8. Behavior
  • Sense-model-plan-act architecture

– internal representations

  • Adaptive behavior

– contributions of the body and of the environment

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  • 9. Computational Biology
  • ALife has contributed to theoretical biology with

the development of computational models and tools

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  • 10. Artificial Chemistries
  • Origin of life from chemical components
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  • 11. Information
  • How the properties of living systems should be

measured?

– Adaptability – Autonomy – Complexity

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  • 12. Living Technology
  • Technology that is based on the core features of

living systems

  • Primary: constructed from non-living components
  • Secondary: depends on living properties
  • Applications:

– cleaning pollution – generating energy – improving health

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  • 13. Art
  • ALife have been used for creating artwork

– Visual arts – Music

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  • 14. Philosophy
  • Is modeled life a real life?

– “strong” and “weak” ALife – the objective results remain the same

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The Future

  • Many open questions
  • Will ALife be considered as “artificial”?
  • Movie: “Mechanical Love”