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An Introduction to Artificial Life

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Title: An Introduction to Artificial Life


1
An Introduction to Artificial Life
  • The Choice Methodology A New Foundation of
    Structured Machine Life

Christopher A. Tucker
Department of Adaptive Systems Institute of
Information Theory and Automation Academy of
Sciences, Czech Republic tuckerca_at_utia.cas.cz http
//www.paradoxtechnologies.org
2
Topics covered in this lecture
  • A Hierarchy of Life Forms
  • Cognition Hierarchy Mimicked Forms Under
    Consideration
  • The Choice Complex
  • The Research Question
  • Experience Emergence

3
Topics covered in this lecture
  • Three Theoretical Assumptions
  • Research Paradigms
  • Experimental Methods
  • Choice Hardware Software
  • The Queen-Drone Autonomous System

4
The Cognition Hierarchy
5
The Choice Complex
  • If a machine can make a choice and if it did,
    would it be a meaningful one?
  • Empirical testing by embedding behavior in
    architecture

6
The Research Question
  • If a machine can directly experience entropy, is
    the consequence an emergence of consciousness?

7
Theoretical Assumption 1
  • If a machine can make a choice, it portrays some
    level of consciousness

8
Theoretical Assumption 2
  • Only if a machine mimics biological life can it
    have access to those kinds of experiences.

9
Theoretical Assumption 3
  • If a machine has knowledge of its death, it
    fosters emergent behavior.

10
In order to satisfy the research question, the
machine
  • Choice
  • Determines Experience
  • Life Conditioning Survival Adaptations
  • Entropy
  • Mimic
  • Form Function

11
Choice
  • Determines Experience
  • Fosters Behavior
  • Forecasts Evolution

12
Life Conditioning Survival
  • Knows that it has life functions within a set
    of statesits operational lifeand also knows the
    inverse.
  • The ability to die fostering emergent behavior in
    the form of survival adaptations

13
Entropy Death
  • Catalyzed by a unique circuit in the machine
    mainframe
  • A special circuit attached to a generic robotics
    platform

14
Mimic
  • The Mimic or Animae (synthetic animal)
  • Satisfies the condition of form
  • Satisfies the condition of function

15
An Artificial Life Prototype
The Experiment
Based on the theoretical principles
16
Experimentation
  • How are all these ideas put together in a
    reasonable methodology whereby we can test some
    of the notions illustrated?
  • How can we generate reproducible results and
    publish our ideas?
  • How can we create a methodological framework to
    extend to future versions and generations of
    machines?
  • How can we advance the knowledge of science?

17
Experimental Conditions
Clause
  • The machine should be made to exist on its own
    with as little interference from humans to be as
    a close an approximation to life as possible.
  • Two Experimental Conditions

18
Experimental Conditions
  • There can be no qualitative comparison with human
    intelligence.

19
Experimental Conditions
  • No superposition of one intelligence system with
    another, all objects in the system remain equal.

How?
20
Motif Environment, Intelligence, and Behavior
The properties commonly ascribed to any object
are, in last analysis, names for its behavior.
21
The Hardware Paradigm
22
Choice Hardware
23
The Wireless Power System
24
A Prototype Wireless Power Transmitter
25
Hardware Layout
  • Cooperating with the transmitting array, there is
    a third card that is onboard in the physical
    device

Note Card less conversion circuitry
26
Method of Power Delivery
  • Two methods under consideration
  • CW at radio frequency
  • Pulsed power at near-audio frequency

27
CW Radio Frequency
  • Tests already conducted and proof of prototype
    accomplished (2004)

At a transmission carrier frequency (f0) of 78MHz
28
Pulsed Power
  • Currently under development for a upcoming
    research grant sponsored by the University of
    Reading

29
Choice Hardware Software
30
The Entropic Circuit
The Core of the Domain-Specific Robotics Platform
31
The Software Paradigm
  • Power ChoiceA, B, C, high, mid, low signals
    exchanged between Tx and R'x
  • Coupled to 802.11x device
  • Power delivered relative to feedback between
    power and load sensors
  • Relationship modeled in software diagram

32
Queen-Drone XML Layout (Software Controller)
33
What are the first experiments?
  • Test the existing wireless power system
  • Apply software controller (choice)
  • Refit a physical robot with the Entropic Circuit
  • Deploy and test
  • Watch the magic happen!

34
Results of Physical Prototype
  • Fully autonomous animae
  • Adapted to its environment
  • Dynamic model of living systems

35
Project goals over the next 24 months
  • Test the tenets of distribution of energy
    information in a cybernetic paradigm
  • Allow a continuous operation of the machine
  • A long-term study of behavior
  • The Entropic Circuit to test survival in
    artificial forms
  • Understanding the feature of choice in living
    systems

36
Goals already accomplished since inception of
project
  • Software architecture deployed in
    www.o2active.cz
  • Commercial application of the choice complex
  • Testing of transformation-based logic (Ashby
    1957)
  • Includes properties illustrated in this lecture
  • Decentralized parallel processing with drone
    tasking

37
QuestionsComments
A paper containing the information in this
lecture is slated for publication in early in
2007. In the meantime
http//www.paradoxtechnologies.org
Paradox Technologies
You Dream It, We Build It http//www.paradoxtechno
logies.org
38
Thank you
A special thank you to UTIA-AS and Dr. Kárný
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