17-03-2014, 05:01 PM
The primary focus of research in Distributed Artificial Intelligence
(DAI) has been on domains in which an organization of agents solves
a single complex problem. We describe applications in which
multiple organizations of agents solve multiple problems and review
the novel design issues that arise in such systems.
We then describe work in progress on a DAI system development
environment. This environment, called SOCIAL, consists of three
primary language-based components. The Knowledge Object
language defines models of knowledge representation and reasoning.
The metacourier language supplies the underlying functionality for
interprocess communication and control access across heterogeneous
computing environments. The metaAgents language defines models
for agent organization coordination, control, and resource
management. Application agents and agent organizations will be
constructed by combining metaAgents and metacourier building
blocks with task-specific functionality such as diagnostic or planning
reasoning.
This architecture hides implementation details of communications,
control, and integration in distributed processing environments,
enabling application developers to concentrate on the design and
functionality of the intelligent agents and agent networks themselves.
(DAI) has been on domains in which an organization of agents solves
a single complex problem. We describe applications in which
multiple organizations of agents solve multiple problems and review
the novel design issues that arise in such systems.
We then describe work in progress on a DAI system development
environment. This environment, called SOCIAL, consists of three
primary language-based components. The Knowledge Object
language defines models of knowledge representation and reasoning.
The metacourier language supplies the underlying functionality for
interprocess communication and control access across heterogeneous
computing environments. The metaAgents language defines models
for agent organization coordination, control, and resource
management. Application agents and agent organizations will be
constructed by combining metaAgents and metacourier building
blocks with task-specific functionality such as diagnostic or planning
reasoning.
This architecture hides implementation details of communications,
control, and integration in distributed processing environments,
enabling application developers to concentrate on the design and
functionality of the intelligent agents and agent networks themselves.