Abstract
In recent years, several powerful computing models including grid, cloud, and Internet have emerged. These state-of-the-art paradigms offer numerous benefits to large-scale and compute-intensive applications such as data analysis and decision modelling in enterprise systems. Many of these applications make use of the collective intelligence technique due to the necessity in a widely dispersed environment, or the desirability to harness the processing power and aggregated knowledge in a distributed system. Most current implementations of the intelligent agent model are software based. This work proposes the use of hardware collective intelligence agent in lieu of the software version, in order to achieve flexibility, versatility, and scalability. Housing on a single chip, the hardware agent is useful in the emulation of collective intelligence models, and deployment in realistic collaborative settings. The rationales of using hardware agent, its advantages, and performance are presented, discussed, and analysed.
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Li, K.F., Perera, D.G. (2013). A Hardware Collective Intelligence Agent. In: Nguyen, NT., Kołodziej, J., Burczyński, T., Biba, M. (eds) Transactions on Computational Collective Intelligence X. Lecture Notes in Computer Science, vol 7776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38496-7_4
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DOI: https://doi.org/10.1007/978-3-642-38496-7_4
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