When Robots Get Bored and Invent Team Sports: A More Suitable Test than the Turing Test?

Increasingly, the Turing test—which is used to show that artificial intelligence has achieved human-level intelligence—is being regarded as an insufficient indicator of human-level intelligence. This essay extends arguments that embodied intelligence is required for human-level intelligence, and proposes a more suitable test for determining human-level intelligence: the invention of team sports by humanoid robots. The test is preferred because team sport activity is easily identified, uniquely human, and is suggested to emerge in basic, controllable conditions. To expect humanoid robots to self-organize, or invent, team sport as a function of human-level artificial intelligence, the following necessary conditions are proposed: humanoid robots must have the capacity to participate in cooperative-competitive interactions, instilled by algorithms for resource acquisition; they must possess or acquire sufficient stores of energetic resources that permit leisure time, thus reducing competition for scarce resources and increasing cooperative tendencies; and they must possess a heterogeneous range of energetic capacities. When present, these factors allow robot collectives to spontaneously invent team sport activities and thereby demonstrate one fundamental indicator of human-level intelligence.

[1]  Barbara J. Grosz,et al.  What Question Would Turing Pose Today? , 2012, AI Mag..

[2]  Hiroaki Kitano,et al.  RoboCup: The Robot World Cup Initiative , 1997, AGENTS '97.

[3]  Ajith Abraham,et al.  Optimization of Rules Selection for Robot Soccer Strategies , 2014 .

[4]  Nicolas Jouandeau,et al.  Energy expenditure in multi-agent foraging: An empirical analysis , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

[5]  Jaime Orejan Football/Soccer: History and Tactics , 2011 .

[6]  Hiroaki Kitano,et al.  The RoboCup humanoid challenge as the millennium challenge for advanced robotics , 1998, Adv. Robotics.

[7]  Justin Werfel,et al.  Self-Organization and Artificial Life: A Review , 2018, ALIFE.

[8]  J. Kelso,et al.  Sport science integration: An evolutionary synthesis , 2017, European journal of sport science.

[9]  Keith Davids,et al.  Team Synergies in Sport: Theory and Measures , 2016, Front. Psychol..

[10]  Paul S. Glazier,et al.  Towards a Grand Unified Theory of sports performance. , 2017, Human movement science.

[11]  Eliseo Ferrante,et al.  Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms , 2013, IEEE Robotics & Automation Magazine.

[12]  G. Reeke Marvin Minsky, The Society of Mind , 1991, Artif. Intell..

[13]  Peter Cariani,et al.  On the design of devices with emergent semantic functions , 1989 .

[14]  P. Downward,et al.  Social Interactions and the Demand for Sport: An Economic Analysis , 2007 .

[15]  Luca Maria Gambardella,et al.  Communication assisted navigation in robotic swarms: Self-organization and cooperation , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Levent Bayındır,et al.  A review of swarm robotics tasks , 2016, Neurocomputing.

[17]  M. Nowak Five Rules for the Evolution of Cooperation , 2006, Science.

[18]  Marco Dorigo,et al.  Towards group transport by swarms of robots , 2009, Int. J. Bio Inspired Comput..

[19]  Shane Legg,et al.  A Collection of Definitions of Intelligence , 2007, AGI.

[20]  Matjaz Perc,et al.  A deceleration model for bicycle peloton dynamics and group sorting , 2015, Appl. Math. Comput..

[21]  Gerhard Weiss,et al.  Toward Soft Heterogeneity in Robotic Swarms , 2013 .

[22]  L. Munari How the body shapes the way we think — a new view of intelligence , 2009 .

[23]  Laurent Keller,et al.  Ant-like task allocation and recruitment in cooperative robots , 2000, Nature.

[24]  Matthias Schroder Mind Children The Future Of Robot And Human Intelligence , 2016 .

[25]  Hugh Trenchard,et al.  The peloton superorganism and protocooperative behavior , 2015, Appl. Math. Comput..

[26]  Alan F. T. Winfield,et al.  How Intelligent is your Intelligent Robot? , 2017, ArXiv.

[27]  Barbara J. Grosz A multi-agent systems "turing challenge" , 2013, AAMAS.

[28]  G. Scambler Sport and Society: History, Power and Culture , 2005 .

[29]  Charles L. Ortiz Why We Need a Physically Embodied Turing Test and What It Might Look Like , 2016, AI Mag..

[30]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[31]  R. G. Sipes War, sports, and aggression: an empirical test of two rival theories , 1973 .

[32]  Michael K. Sahota,et al.  Can Situated Robots Play Soccer , 2000 .

[33]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[34]  Sven Behnke,et al.  Humanoid Robots in Soccer: Robots Versus Humans in RoboCup 2050 , 2015, IEEE Robotics & Automation Magazine.

[35]  Jeffrey L. Krichmar,et al.  Evolutionary robotics: The biology, intelligence, and technology of self-organizing machines , 2001, Complex..

[36]  S. G. Ponnambalam,et al.  An extensive review of research in swarm robotics , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[37]  Jianhua Yang,et al.  The Evolution of Cooperative Behaviours in Physically Heterogeneous Multi-robot Systems , 2012 .

[38]  K. Davids,et al.  Constraints-induced emergence of functional novelty in complex neurobiological systems: a basis for creativity in sport. , 2011, Nonlinear dynamics, psychology, and life sciences.

[39]  Wenguo Liu,et al.  Modeling and Optimization of Adaptive Foraging in Swarm Robotic Systems , 2010, Int. J. Robotics Res..

[40]  Itamar Arel,et al.  Beyond the Turing Test , 2009, Computer.

[41]  A. Clark,et al.  Supersizing The Mind Embodiment Action And Cognitive Extension Andy Clark , 2016 .

[42]  Stefano Nolfi,et al.  Self-organised path formation in a swarm of robots , 2011, Swarm Intelligence.

[43]  Robert K. Logan,et al.  The Emperor of Strong AI Has No Clothes: Limits to Artificial Intelligence , 2017, Inf..

[44]  R. Kurzweil,et al.  The Singularity Is Near: When Humans Transcend Biology , 2006 .

[45]  Anders Lyhne Christensen,et al.  Challenges in cooperative coevolution of physically heterogeneous robot teams , 2016, Natural Computing.

[46]  Ira B. Schwartz,et al.  Collective Motions of Heterogeneous Swarms , 2015, IEEE Transactions on Automation Science and Engineering.

[47]  Luca Maria Gambardella,et al.  Self-organized cooperation between robotic swarms , 2011, Swarm Intelligence.

[48]  Family structure, time constraints, and sport participation , 2011, European Review of Aging and Physical Activity.

[49]  Towards a Grand Unified Theory of sports performance: A response to the commentaries. , 2017, Human movement science.

[50]  Michael P Lombardo,et al.  On the Evolution of Sport , 2012, Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior.

[51]  Rodney A. Brooks,et al.  Building brains for bodies , 1995, Auton. Robots.

[52]  Barbara Eberth,et al.  Modelling the participation decision and duration of sporting activity in Scotland , 2010, Economic modelling.

[53]  Takashi Gomi,et al.  Book Review: Evolutionary Robotics: the Biology, Intelligence, and Technology of Self-Organizing Machines , 2003, Genetic Programming and Evolvable Machines.

[54]  Marco Dorigo,et al.  Self-organisation and communication in groups of simulated and physical robots , 2006, Biological Cybernetics.

[55]  Rolf Pfeifer,et al.  How the body shapes the way we think - a new view on intelligence , 2006 .

[56]  Marco Dorigo,et al.  Teamwork in Self-Organized Robot Colonies , 2009, IEEE Transactions on Evolutionary Computation.