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PostGraduate Course on Complex Systems

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Title: PostGraduate Course on Complex Systems


1
AS-74.330Post-Graduate Course on Control
EngineeringSpring 2003Complex Systems
2
AS-74.330
  • Post-graduate course of the
    HUT Control Engineering Laboratory
  • Changing themes, can be taken many times
  • All material/presentations in English
  • 6 credits out of 25-30 (major) or 10-15 (minor)

3
This is HOT!
4
Complex systems?
  • Starting point (here) Simple basic system
    structure, complexity resulting from massive
    iteration
  • Keyword is EMERGENCE of ORDER
  • When a large number of lower-level constructs are
    combined, new patterns of functionality or
    structures (hopefully) pop up

5
System complex
System complex
Behavior chaotic
Behavior chaotic
Result fractal
Result fractal
6
Claims
  • All natural processes are best explained in
    terms of cellular automata
  • All natural systems are cellular automata
  • The same ideas solve the problems in biology,
    sociology, ...
  • Old mathematics (physics, biology, ethics, etc.)
    must be forgotten

WHAT ...?!
7
Form vs. function?
Interesting emergent forms?
8
Course objective
  • Try to see the big picture.
  • Be prepared to contribute to science in the
    making.
  • Possibilities and threats
  • Basic paradigms and approaches
  • Concrete environments for emergence
  • Example applications.

9
  • Course pages

http//www.control.hut.fi/kurssit/AS-74.330/index.
html
10
  • Read the news!

11
Use Internet!
  • Links accessible through course pages
  • Complex systems research
  • General bookmarks
  • Related journals
  • Research institutions
  • Information on LaTeX
  • Search machines

12
Publication
  • The texts will be collected together and they
    will be published in the Control Engineering
    Laboratory publication series
  • Texts will be written using LaTeX, following the
    formatting guidelines
  • ... an exercise in scientific writing!

13
Session outline
  • Exercises to be returned before session start
  • Preliminary versions of the Chapter handed out
    (can be copied in the Lab if in time)
  • Some two-hour presentations, slides with
    PowerPoint, if possible
  • Discussion
  • Feedback forms returned.

14
Session 2
  • January 22. New Kind of ScienceReino
    VirrankoskiMaterial (for example!) from Stephen
    Wolfram "A New Kind of Science" and Steven
    Johnson "Emergence - The Connected Lives of
    Ants, Brains, Cities, and Software". The goal is
    to informally give insight in the huge promises
    ...

15
Session 3
  • January 29. ... or End of Science?Heikki
    PistoMaterial from John Horgan "End of
    Science". This shows the highly controversial
    nature of the claims concerning complex systems -
    and it also criticizes the "ironic science" in
    general!

16
Session 4
  • February 5. Architecture of Complex
    SystemsEugene M. BurmakinMaterial from Herbert
    A. Simon "Sciences of the Artificial". The role
    of hierarchies as general structures spanning any
    complex systems is presented, and motivations for
    this fact is given ideas of "empty world" and
    "almost decomposability" are coined.

17
Session 5
  • February 12. Towards DecentralizationMatti
    SaastamoinenMaterial from Stuart J. Russell,
    Peter Norvig "Artificial Intelligence - Modern
    Approach", etc. Agents and their interactions as
    a framework for mastering complexity in current
    AI paradigms is presented, resulting in extreme
    decentralization of processing and control.

18
Session 6
  • February 19. Networks of AgentsJani
    KaartinenMaterial from Albert-Lazslo Barabasi
    "Linked". How everything is networked rather than
    hierarchically organized.

19
Session 7
  • February 26. Cellular AutomataJuan LiMaterial
    (again) from Stephen Wolfram "A New Kind of
    Science". How all higher-level organization has
    to be abandoned?

20
Session 8
  • March 5. Chaos TheoryBoris KrassiMaterial from
    Robert Devaney "An Introduction to Chaotic
    Dynamical Systems", etc. Role of nonlinearity.
    Introduction to ideas of deterministic chaos,
    bifurcations, fractals, strange attractors, and
    "Feigenbaumian universality" ...

21
Session 9
  • March 12. Research Based on SimulationsLasse
    ErikssonMaterial from Per Bak, Kan Chen
    "Self-Organized Criticality", John Doyle WWW
    Homepages, etc. Further innovations about phase
    transitions, edge of chaos, highly optimized
    tolerance, ...

22
Session 10
  • March 19. Self-Similarity and Power LawsTiina
    KomulainenMaterial from the Web. How the "Zipf
    law" seems to govern all naturally evolved
    systems, and how such qualitative studies can be
    utilized in artificial systems.

23
Session 11
  • March 26. Turing's Lure, Gödel's CurseAbouda
    AbdullaMaterial from Elwyn Berlekamp, John
    Conway, Richard Guy "Winning Ways" (Vol. 2,
    Chapter 25), etc. How it can be theoretically
    shown that simple nonlinearities can produce
    mindboggling complexity - and how this universal
    might actually collapses everything!

24
Session 12
  • April 2. Control of Large-Scale SystemsJari
    HätönenMaterial by Lauri Hakkala, etc. How the
    problem of complexity used to be attacked
    applying hierarchic control, applying optimal
    control theory before anybody spoke of robustness.

25
Session 13
  • April 9. Qualitative ApproachesPetteri
    KangasMaterial from John Sterman "Business
    Dynamics - Systems Thinking and Modeling for a
    Complex World". Forgetting about details and
    numbers, it can be easier to motivate the ideas
    of System Dynamics to those who are controlling
    the complex systems ...

26
Session 14
  • April 16. Towards a Systemic View of
    Complexity?Yuba Raj AdhikariMaterial from the
    Web. How emergent patterns could be controlled?
    How to make something interesting emerge? How to
    see emergent processes in a perspective? What
    kind of "holistic" mathematical tools might
    be available when analyzing complex automation
    systems?

27
Goal Homogeneity
  • Presentations (oral/textual) should not be too
    superficial, and not too mathematical
  • Try to see wider perspectives, historical
    developments and connections, etc.
  • Give representative examples!

(It goes without saying Quality is another
central goal)
28
YOU make it roll!
  • WHO are you?
  • WHERE do you come from?
  • WHY are you taking this course?
  • WHAT do you already know about the subject?

29
Heikki Hyötyniemi
  • Chairman of the Finnish Artificial Intelligence
    Society (FAIS) 1999 2002
  • About 100 scientific publications
  • Professor since Nov. 1, 2001 on Complex Systems
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