Prior research on artificial agents/agencies involves entities using specifically tailored operational strategies (e. g., for information retrieval, purchase negotiation). In some situations, however, an agent must interact with others whose strategies are initially unknown and whose interests may counter its own. In such circumstances, pre - defining effective counter - strate - gies could become difficult or impractical. One solution, which may be viable in certain contexts, is to create agents that self - evolve increasingly effective strategies from rudimentary beginnings, during actual deployment.
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