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In this paper collective problem solving is explored by comparing the human group performance and swarm intelligence algorithms. The study involved thirty university students from different academic programs, aged between eighteen and thirty years were assigned comprised of three, five or seven-member groups. Spatial version (open field) of the traveling salesman problem was used. The participants’ performance was compared with the performance of algorithms collective intelligence of swarms. The results show some similarities between cognition and group cognition swarm in the mechanisms of information processing strategies of collective organization and patterns of choice or consensus strategies.

Cognición de grupo y cognición de enjambre en la solución del problema del agente viajero