A distributed multi-agent architecture for natural language processing
Danilo Fum,Giovanni Guida,Carlo Tasso +2 more
- pp 812-814
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TLDR
This architecture proposes a novel concept of distributed problem solving, which incorporates in a unitary framework the following key-points; large-grained heterogeneous agents, centralized knowledge-based control, and mixed event-driven and goal-driven operation.Abstract:
The paper presents a distributed multi-agent architecture for natural language processing. This architecture proposes a novel concept of distributed problem solving, which incorporates in a unitary framework the following key-points; large-grained heterogeneous agents, centralized knowledge-based control, and mixed event-driven and goal-driven operation. It provides, moreover, a flexible tool for the design of natural language processing systems, both motivated from the cognitive point of view and computationally effective and robust. The proposed architecture has been implemented in a fully running prototype system, and has been successfully applied in the domain of text understanding.read more
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References
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Randall Davis,Reid G. Smith +1 more
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Victor Lesser,Daniel D. Corkill +1 more
TL;DR: In this article, a new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed, which is especially suited to applications in which the data necessary to achieve a solution cannot be partitioned in such a way that a node can complete a task without seeing the intermediate state of task processing at other nodes.