Emergence of communication in embodied agents evolved for the ability to solve a collective navigation problem

In this paper, we present the results of an experiment in which a collection of simulated robots that have been evolved for the ability to solve a collective navigation problem develop a communication system that allows them to co-operate better. The analysis of the results obtained indicates how evolving robots develop a non-trivial communication system and exploit different communication modalities. The results also indicate how the possibility of co-adapting the robots’ individual and social/communicative behaviour plays a key role in the development of progressively more complex and effective individuals.

[1]  Simon Kirby,et al.  Natural Language From Artificial Life , 2002, Artificial Life.

[2]  Stefano Nolfi,et al.  Evolving robots able to self-localize in the environment: the importance of viewing cognition as the result of processes occurring at different time-scales , 2002 .

[3]  日本ロボット学会 IROS '95 : proceedings of the 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems : human robot interaction and cooperative robots, August 5-9, 1995, Pittsburgh, Pennsylvania, USA , 1995 .

[4]  Stefano Nolfi,et al.  Evolving Robots Able To Integrate Sensory-Motor Information Over Time , 2001 .

[5]  Hiroyuki Iizuka,et al.  Simulating autonomous coupling in discrimination of light frequencies , 2004, Connect. Sci..

[6]  James A. Reggia,et al.  Progress in the Simulation of Emergent Communication and Language , 2003, Adapt. Behav..

[7]  Luc Steels,et al.  Grounding adaptive language games in robotic agents , 1997 .

[8]  Stefano Nolfi,et al.  Emergence of communication in embodied agents: co-adapting communicative and non-communicative behaviours , 2005, Connect. Sci..

[9]  Stefano Nolfi,et al.  Evolving robots able to integrate sensory-motor information over time , 2001, Theory in Biosciences.

[10]  Hiroyuki Iizuka,et al.  Simulating turn-taking behaviours with coupled dynamical recognizers , 2002 .

[11]  Hiroyuki Iizuka,et al.  Adaptive Coupling and Intersubjectivity in Simulated Turn-Taking Behaviour , 2003, ECAL.

[12]  Ezequiel A. Di Paolo,et al.  Behavioral Coordination, Structural Congruence and Entrainment in a Simulation of Acoustically Coupled Agents , 2000, Adapt. Behav..

[13]  Lincoln Smith,et al.  Evolving controllers for a homogeneous system of physical robots: structured cooperation with minimal sensors , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[14]  Luc Steels,et al.  Aibo''s first words. the social learning of language and meaning. Evolution of Communication , 2002 .

[15]  L. Steels Evolving grounded communication for robots , 2003, Trends in Cognitive Sciences.

[16]  HighWire Press Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.

[17]  Angelo Cangelosi,et al.  The Emergence of a 'Language' in an Evolving Population of Neural Networks , 1998, Connect. Sci..

[18]  Matthew Quinn,et al.  Evolving co-operative homogeneous multi-robot teams , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[19]  G. M. Werner Evolution of Communication in Artificial Organisms, Artifial Life II , 1991 .

[20]  Stefano Nolfi,et al.  Evolving Mobile Robots Able to Display Collective Behaviors , 2003, Artificial Life.

[21]  Matthew Quinn,et al.  Evolving Communication without Dedicated Communication Channels , 2001, ECAL.

[22]  Stefano Nolfi,et al.  The emergence of communication in evolutionary robots , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.