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This project aims to
design and develop teams of co-operating autonomous agents,
which could generally be used to expand the action-horizon of
humans in inaccessible industrial fluidic applications.
Successful collective performance in these missions critically
depends upon: (a) accurate environmental perception, (b) a real
time decision making and action loop, (c) emergent goal directed
social behavior. In order to meet these requirements, we:
(a) Propose a
novel agent architectural design based on modular Spiking Neural
Network, which will serve as a "blueprint" for agent manufacture
(b) Research
direct/indirect communication mechanisms for collaborative
societies formation, and agent to environment communication.
(c) Design and
develop an accompanying Development Environment, which will
facilitate the evolution of complex agent SNN architectures-
multiagent societies, and the development of successive CAA
generations.
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