Abstract
This paper describes a dataflow architecture for artificial intelligence applications in particular parallel logic programming. This machine has a decentralized approach for parallel processing. Dynamic creation of dataflow nodes not only provides higher performance but also reduces bookkeeping overhead.
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Delgado-Frias, J., Ahmed, A., Payne, R. (1991). A Dataflow Architecture for AI. In: Delgado-Frias, J.G., Moore, W.R. (eds) VLSI for Artificial Intelligence and Neural Networks. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3752-6_3
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DOI: https://doi.org/10.1007/978-1-4615-3752-6_3
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