Difference between revisions of "Application Ideas for Self-organizing Systems"

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(Autonomous Transportation Systems)
(Self-Organising financial market)
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** Build a network of trust, help identify grey-zone
 
** Build a network of trust, help identify grey-zone
 
** Population of agents that crawls the market and looks at it in other ways and identifies whether or not product/entity is trustful
 
** Population of agents that crawls the market and looks at it in other ways and identifies whether or not product/entity is trustful
** Agents rely on human-like trust (identify healthy from unhealthy products)  
+
*** Agents rely on human-like trust (identify healthy from unhealthy products)  
** Agents rely in facts on not on emotion or imitation
+
*** Agents rely in facts on not on emotion or imitation
** Agents identify risks
+
*** Agents identify risks
 
* Open questions
 
* Open questions
 
** How to mix them with human people
 
** How to mix them with human people
 
* Acceptance?
 
* Acceptance?

Revision as of 13:58, 14 July 2011

Autonomous Transportation Systems

  • Pipe systems for transportation of goods
  • Autonomous Robots transport goods from A to B
  • Goal:
    • Agents have to find their way to these pipe systems themselves
    • Agents have to move inside the pipe system from A to B
    • Problem: if many agents in the system how to organise them to avoid jams, …

Air Traffic Control System

  • From top-down system to bottom-up system
  • Decentralised
  • Constraints, zero-tolerance against error
  • Optimise the route
  • Agent in the plane knows about other neighbouring planes and applies repulsion
    • Identifies the route (on the air)
    • Avoid other planes (on the air) – take regulations into account
    • Improve quality of service (time departure, ask for priority to leave the airport)
  • Reasons
    • Many points of failures
    • Humans involved – air traffic controller

Self-Organising financial market

  • Put software agents into stock markets
  • Goal:
    • To make market more stable
    • Avoid crashes
    • To be more in line with economic theory (rational behaviour, faster, act in zero time)
  • How (Alternatives)
    • All the trading is done by agents
    • Trade based on trust
    • Build a network of trust, help identify grey-zone
    • Population of agents that crawls the market and looks at it in other ways and identifies whether or not product/entity is trustful
      • Agents rely on human-like trust (identify healthy from unhealthy products)
      • Agents rely in facts on not on emotion or imitation
      • Agents identify risks
  • Open questions
    • How to mix them with human people
  • Acceptance?