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Adaptive Probabilistic Behavioural Learning System for the effective behavioural decision in cloud trading negotiation market
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Bilateral negotiation process is modelled as the multi-stage Markov decision problem.

Adaptive Probabilistic Behavioural Learning analyse offer using inference engine.

Operational view of proposed learning tactics is modelled as layered data flow graph.

Flow graph predicts behavioural tactics and suggest counter tactics from rule base.

Behavioural decision making heuristic is based on the probability distribution.

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