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On the crowdsourcing of behaviors for autonomous agents

This paper is concerned with the problem of designing, from data, agents that are able to craft their behavior from a set of contributors in order to fulfill some agent-specific task. This is not necessarily known to the contributors. After formalizing this crowdsourcing process as a control problem, we present a result to synthesize behaviors from the information made available by the contributors. The result is turned into an algorithm and the theoretical findings are complemented via an example.