TY - GEN
T1 - Cooperative large scale mobile agent systems
AU - Yadgar, O
AU - Ortiz Jr, C. L
AU - Kraus, S
AU - Sharabi, E
N1 - Place of conference:USA
PY - 2003
Y1 - 2003
N2 - We consider environments that consist of a large set
of relatively cheap and simple agents and a large set of objects.
The agents should track the objects and identify how the objects'
states change over time. Since the agents are simple, it is very
difficult for an individual agent to track an object by itself. Thus,
the agents must cooperate and exchange information in order to
succeed in their tasks. The problem becomes even more difficult
when agents can collect only partial information about nearby
tasks obtained by possibly noisy sensors.
We propose the Distributed Dispatcher Manager (DDM)
system that organizes teams hierarchically to solve such largescale
problems. We show that using large numbers of simple
agents may be more beneficial than small numbers of
so
scalability for very large task and agent
roblem domains•
.
Large-scale agent systems, scalability and
complexity issues.
ents and urban traffic controls may study drivers'
be
large-scale
•
ive at a better local assessment
•
given
phisticated ones.
DDM addresses three important issues: (i) how the agents
should be distributed over an area, (ii) how agents should process
local information, derived from possible noisy sensors, to provide
a partial solution to nearby tasks, and (iii) how partial solutions
should be integrated into a global solution. DDM's contributions
include: (1) realtime processes for combining partial results to
form an accurate global solution, (2) increased system fault
tolerance, and (3
AB - We consider environments that consist of a large set
of relatively cheap and simple agents and a large set of objects.
The agents should track the objects and identify how the objects'
states change over time. Since the agents are simple, it is very
difficult for an individual agent to track an object by itself. Thus,
the agents must cooperate and exchange information in order to
succeed in their tasks. The problem becomes even more difficult
when agents can collect only partial information about nearby
tasks obtained by possibly noisy sensors.
We propose the Distributed Dispatcher Manager (DDM)
system that organizes teams hierarchically to solve such largescale
problems. We show that using large numbers of simple
agents may be more beneficial than small numbers of
so
scalability for very large task and agent
roblem domains•
.
Large-scale agent systems, scalability and
complexity issues.
ents and urban traffic controls may study drivers'
be
large-scale
•
ive at a better local assessment
•
given
phisticated ones.
DDM addresses three important issues: (i) how the agents
should be distributed over an area, (ii) how agents should process
local information, derived from possible noisy sensors, to provide
a partial solution to nearby tasks, and (iii) how partial solutions
should be integrated into a global solution. DDM's contributions
include: (1) realtime processes for combining partial results to
form an accurate global solution, (2) increased system fault
tolerance, and (3
UR - https://scholar.google.co.il/scholar?q=Cooperative+large+scale+mobile+agent+systems&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - The Autonomous Intelligent Networks and Systems Symposium
ER -