Creativity Through Autonomy and Interaction

In this paper, we have sought to bring together several strands of our work, on motivation, autonomous agents and interaction between agents, to show how creativity can have a central place within what might be considered rather straightforward aspects of the design of modern computing systems. We review our previous work on the SMART agent framework and re-interpret it in the light of considerations of creativity arising from autonomy, motivation and contributing to the process of autonomous interaction. Here, behaviour is not prescribed but is determined in relation to motivation, leading to different, potentially creative outcomes for different individuals, especially during the process of interaction. Moreover, considering interaction as discovery imbues it with the same creative aspect as in scientific discovery, in which it can be argued that creativity plays a significant role in theory formation and revision. In fact, these are two sides of the same coin: in our view, the creativity in discovery arises from the motivation and autonomy of the individual involved.

[1]  Pattie Maes,et al.  A bottom-up mechanism for behavior selection in an artificial creature , 1991 .

[2]  Tony Veale,et al.  Converging on the Divergent: The History (and Future) of the International Joint Workshops in Computational Creativity , 2009, AI Mag..

[3]  Paul Brown,et al.  Evaluation of Creative Aesthetics , 2012 .

[4]  Michael Luck,et al.  A normative framework for agent-based systems , 2006, Comput. Math. Organ. Theory.

[5]  R. Malina Aaron’s Code: Meta-Art, Artificial Intelligence and the Work of Harold Cohen by Pamela McCorduck (review) , 2017 .

[6]  Robert Dale,et al.  Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society , 1991 .

[7]  J. Michael Spivey,et al.  Understanding Z : A specification language and its formal semantics , 1985, Cambridge tracts in theoretical computer science.

[8]  Aaron Sloman,et al.  Motives, Mechanisms, and Emotions , 1987, The Philosophy of Artificial Intelligence.

[9]  Jonathan P. Bowen Formal Specification and Documentation Using Z: A Case Study Approach , 1996 .

[10]  Marco Colombetti,et al.  Research directions in agent communication , 2013, TIST.

[11]  Douglas E. Appelt,et al.  Planning English Sentences , 1988, Cogn. Sci..

[12]  Carol L Cone,et al.  Causes and effects. , 2003, Harvard business review.

[13]  H. Simon,et al.  Motivational and emotional controls of cognition. , 1967, Psychological review.

[14]  Ian J. Hayes,et al.  Specification case studies , 1987 .

[15]  H. Simon,et al.  Models of Thought , 1979 .

[16]  A. Standen Causes and Effects. , 1957, Science.

[17]  R. Weisberg Creativity: Understanding Innovation in Problem Solving, Science, Invention, and the Arts , 2006 .

[18]  Kathryn Kasmarik,et al.  Motivated Agents , 2005, IJCAI.

[19]  J. Sadock Speech acts , 2007 .

[20]  Stephen Marsh,et al.  Trust in Distributed Artificial Intelligence , 1992, MAAMAW.

[21]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[22]  Aaron Sloman,et al.  Why Robots Will Have Emotions , 1981, IJCAI.

[23]  Michael Luck,et al.  Development and application of a formal agent framework , 1997, First IEEE International Conference on Formal Engineering Methods.

[24]  Michael Luck,et al.  Engagement and Cooperating in Motivated Agent Modelling , 1995, DAI.

[25]  Nigel Seel The First European Workshop on Modelling Autonomous Agents in a Multi-Agent World , 1989 .

[26]  M. Brauer,et al.  Social power , 2006 .

[27]  Csr Young,et al.  How to Do Things With Words , 2009 .

[28]  Michael Luck,et al.  Understanding Agent Systems , 2001, Springer Series on Agent Technology.

[29]  Mark d'Inverno,et al.  Computers and Creativity: The Road Ahead , 2012 .

[30]  Terri Gullickson The Creative Mind: Myths and Mechanisms. , 1995 .

[31]  Simon Colton,et al.  Computational Creativity: Coming of Age , 2009, AI Mag..

[32]  François Pachet,et al.  Musical Virtuosity and Creativity , 2012 .

[33]  J. Johnstone Supersizing the Mind , 2013 .

[34]  Philip W. Anderson,et al.  WHAT MAD PURSUIT. A Personal View of Scientific Discovery. , 1989 .

[35]  Jon McCormack,et al.  Why does Computing matter to Creativity , 2012 .

[36]  J. Michael Spivey,et al.  The Z notation - a reference manual , 1992, Prentice Hall International Series in Computer Science.

[37]  Michael Luck,et al.  Understanding agent systems, Second Edition , 2004, Springer series on agent technology.

[38]  Z. Kunda,et al.  The case for motivated reasoning. , 1990, Psychological bulletin.

[39]  J. Mccormack,et al.  Computers and Creativity , 2012, Springer Berlin Heidelberg.

[40]  Oliver Bown,et al.  Live Algorithms: Towards Autonomous Computer Improvisers , 2012 .

[41]  Jürgen Schmidhuber,et al.  A possibility for implementing curiosity and boredom in model-building neural controllers , 1991 .

[42]  Kevin B. Korb,et al.  Creativity Refined: Bypassing the Gatekeepers of Appropriateness and Value , 2012 .

[43]  Daniel Jones,et al.  The Extended Composer , 2012 .

[44]  Michael Luck,et al.  Understanding Autonomous Interaction , 1996, ECAI.

[45]  Michael Luck,et al.  A Formal Framework for Agency and Autonomy , 1995, ICMAS.

[46]  François Pachet Multimedia at work - Playing with virtual musicians: the continuator in practice , 2002, IEEE MultiMedia.

[47]  Pablo Noriega,et al.  Weaving a Fabric of Socially Aware Agents , 2011, PRIMA.

[48]  Michael Luck,et al.  Motivated Behavior for Goal Adoption , 1998, DAI.

[49]  Mark d'Inverno,et al.  Knowledge interchange protocols , 1990 .

[50]  C. Raymond Perrault An application of default logic to speech act theory , 1987 .

[51]  Jim Woodcock,et al.  Using Z - specification, refinement, and proof , 1996, Prentice Hall international series in computer science.

[52]  Simon Colton,et al.  The Painting Fool: Stories from Building an Automated Painter , 2012 .

[53]  M. Boden The creative mind : myths & mechanisms , 1991 .

[54]  James F. Allen A plan-based approach to speech act recognition , 1979 .

[55]  A. Cardoso,et al.  Assessing Creativity : The importance of unexpected novelty , 2022 .

[56]  Philip R. Cohen,et al.  Intentions in Communication. , 1992 .

[57]  Michael Luck,et al.  Motivated Behaviour for Goal Adoption , 1998 .

[58]  Luc Steels,et al.  When are robots intelligent autonomous agents? , 1995, Robotics Auton. Syst..

[59]  Bella Merlin,et al.  The Complete Stanislavsky Toolkit , 2007 .