Title: Simulation for determining initial system effect for coordination in multiagent systems Murat Aydin
1Simulation for determining initial system effect
for coordinationin multiagent systems Murat
Aydin
2What is coordination
- Coordination is a central issue in multiagent
systems. It is globally coherent behavior of the
agents., - Coordination is required to achieve a goal in
multiagent systems
3Problem
- Initial system status means number of agents,
number of resources, distribution of agent on
resources and distribution of resources on
locations. - initial system state must have some effects on
coordination effort which is not explored very
well in literature
4Problem cont.
- Resource change effect is the same with initial
system status effect. Because adding resources
makes the system uncoordinated and some
coordination is needed. System prior to
coordination is initial system.
5Motivation
- Identifying effects of initial system on
coordination allows system designer to change
resources in a manner in which coordination can
take less time. Also knowing effect of initial
system status allows feasibility researches i.e.
the system will complete the or the system will
always be in a challenge with coordination.
6Aim
- how coordination is affected by an increase in
number of resources per agent. - how resource change patterns affect coordination
7Examples
- Example 1 Some physical jobs i.e. Pollen
collection by bee agents - Example 2 Nonhomogeneous resources
- Example 3 Service selection where quality of
service is dependent on number of clients and
coordination is getting best service.
8DefinitionsResource Change Distribution
Figure 1.a Before change Figure 1.b After
change
9Before and after coordination
Number of Agents per resource
Figure 2.a before change Figure 2.b after
change, after coordination
10DefinitionsRelative Resource Change Distribution
- resource changes are relative to agent
distribution over resources.
After, a second resource change (3,9,15,21,12) is
applied. The resource change viewed by agents
Figure 3.a second resource change Figure 3.b
resource change viewed by agents
11Experimental setup
Experimental setup
Knowledge (Kn), Choice (Ch) and knowledge sharing
of agents at resources i and j Singh and
Rustogi
12DefinitionsKey factors of coordination
- Knowledge
- Choice
- Shared Knowledge
- Inertia
- Tolerance to imprecision
13DefinitionsDecision Protocol
Decision Protocol from Singh and Rustogi
14SimulationPerformance Metric
- Distance from coordination Number of movements
required to coordinate
15Simulation
- control and test systems with the same initial
status - For test system experimentally or normally
distributed resource change will be applied. - For the control system, same number of resource
change will be applied with a uniform
distribution.
16Evaluation
- apply statistical analysis to test whether the
difference in mean number of steps to coord for
each group is significant or not. - If different,analyze results to come up with an
explanation about this difference - try to conclude with a formula which lets to
predict number of movements
17References
- Singh and Rustogi Sudhir K. Rustogi and
Munindar P. Singh. Be Patient and Tolerate
Imprecision How Autonomous Agents can Coordinate
Effectively. - Candale and Sen Teddy Candale and Sandip Sen.
Fast convergence to satisfying distributions.
18 THANKS