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Figure 4. CDTK (Community Developing Tool-Kit)
individuals. Then we implement two community
computing systems based on those scenarios. By
the simulation results of two systems, we show
the feasibility and possibility of community
computing as an emerging computing paradigm
to provide urgent and complicated services by
using cooperation.
CHILDCARE
. In the CHILDCARE sce-
nario, when a child goes out of home, a Smartbelt
located on the child requests for a community
instantiation to the society manager. Then, a com-
munity manager of the
CHILDCARE
community
is created and organizes agent members for per-
forming each role. For the safety of the child, the
CHILDCARE
community informs the situation
of the child to the child's family, and the child's
mother searches for the nearest person who can
help the child to return home. Finally, when the
child arrives home, the goal of the
CHILDCARE
community is achieved, and then the community
is disorganized. Simulation of the
CHILDCARE
community computing system is shown in Figure
5(a).
COEX
. To examine the proposed static com-
munity situation based community computing
model and the development process, we developed
the
COEX
community computing system to offer
PATROL
and
FIND_PERSON
services at a COEX
shopping mall. This scenario aims to find a lost
child inside a huge building, COEX-Mall. When
a robot is on patrol as a member of a
Patrol_COEX
community, the robot may be asked by a mother
to find her lost child. The robot generates a
TAKE_REQUEST_FIND_ PERSON
member
situation and then requests a creation of
Find_Per-
son
community to a society manager (See Section
5: Computation Model for more information about
a society manager and a community manager.)
The society manager, who supervises the
COEX-
Mall
community computing system, creates a
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