Adaptive Markov Systems: Formulation and Framework

This paper presents a framework for simulation of Adaptive Markov Machines, a device that merges Markov Chains and adaptive techniques into a single tool. This framework was developed as a reusable API for simulation of stochastical processes whose characteristics change over time, in order to be used for simulation of creative actions such as automatic music generation. The paper begins with the definition of Adaptive Markov Machines used as base for the framework implementation, then it describes the framework itself and it ends with the definition of results and presentation of future work related to the paper.