Difference between revisions of "Future Research Directions, PhD Topics"

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(Future Research Directions in Self-organizing and Complex Systems)
(Future Research Directions in Self-organizing and Complex Systems)
 
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** multi-scale interactions
 
** multi-scale interactions
 
** Related work:
 
** Related work:
***Frei, R. and Di Marzo Serugendo, G. (2011). Advances in Complexity Engineering. To appear Int. J. of Bio-Inspired Computation. [http://www.reginafrei.ch/pdf/compl-eng-survey-v2.pdf]
+
*** Frei, R. and Di Marzo Serugendo, G. (2011). Advances in Complexity Engineering. To appear Int. J. of Bio-Inspired Computation. [http://www.reginafrei.ch/pdf/compl-eng-survey-v2.pdf]
 +
*** Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt ArXives, Mexico. TS0002EN. [http://scifunam.fisica.unam.mx/mir/copit/TS0002EN/TS0002EN.html]
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* Software Engineering methodology (SE paradigm like the Evolutionary one to speed up design)
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* Theoretical foundation of SOS (a sort of NP-completeness theory, to say for which problems the SO approach is better than the alternatives and waht wes hould expect from them)
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* Macro-levels models (tools to understand what happens not only at the micro-level)
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* Socio-technical systems
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** Systems including human and technical components both self-organizing
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** Use case: intelligent transportation in cities to reduce travel time, CO_2 emissions, etc. (public transport, vehicles, pedestrians)
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** Use case: intelligent waste management - collecting and recycling of goods/waste in an autonomous way
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* Assistive cooperative systems
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** Systems assisting humans on-demand, autonomous assembly and sharing of components
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** Components may be robots, software, etc.
  
 
== PhD topics ==
 
== PhD topics ==

Latest revision as of 14:37, 14 July 2011

Future Research Directions in Self-organizing and Complex Systems

  • Emergence
  • Social computing
    • monitoring and control of social systems
    • transportation systems
    • web of data/linked data
  • Methodologies for design and control of S-O.S.
    • trust
    • vulnerability
    • validation/verification
    • multi-scale interactions
    • Related work:
      • Frei, R. and Di Marzo Serugendo, G. (2011). Advances in Complexity Engineering. To appear Int. J. of Bio-Inspired Computation. [1]
      • Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt ArXives, Mexico. TS0002EN. [2]
  • Software Engineering methodology (SE paradigm like the Evolutionary one to speed up design)
  • Theoretical foundation of SOS (a sort of NP-completeness theory, to say for which problems the SO approach is better than the alternatives and waht wes hould expect from them)
  • Macro-levels models (tools to understand what happens not only at the micro-level)
  • Socio-technical systems
    • Systems including human and technical components both self-organizing
    • Use case: intelligent transportation in cities to reduce travel time, CO_2 emissions, etc. (public transport, vehicles, pedestrians)
    • Use case: intelligent waste management - collecting and recycling of goods/waste in an autonomous way
  • Assistive cooperative systems
    • Systems assisting humans on-demand, autonomous assembly and sharing of components
    • Components may be robots, software, etc.

PhD topics

  • A Methodology for Design and Control of S-O.S. with verification/validation
  • Some S-O. transportation application