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Towards Autonomous Creative Systems: A Computational Approach

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Abstract

This paper reviews the long-standing debate surrounding the nature of machine intelligence, autonomy and creativity and argues for an approach to developing autonomous computational creativity that models personal motivations, social interactions and the evolution of domains. The implications of this argument on the types of cognitive processes that are required for the development of autonomous computational creativity are explored and a possible approach to achieving the goal is described. In particular, this paper describes the development of artificial creative systems composed of intrinsically motivated agents engaging in language games to interact with a shared social and cultural environment. The paper discusses the implications that this type of approach may have for the development of autonomous creative systems.

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Notes

  1. As reported in Luisi [40].

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Acknowledgments

This research has been partly supported by the Australian Research Council, Discover Grant DP0666584.

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  1. Faculty of Architecture, Design and Planning, University of Sydney, Sydney, Australia

    Rob Saunders

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Correspondence to Rob Saunders.

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Saunders, R. Towards Autonomous Creative Systems: A Computational Approach. Cogn Comput 4, 216–225 (2012). https://doi.org/10.1007/s12559-012-9131-x

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