Symbiotic intelligence
From Wikipedia, the free encyclopedia
Symbiotic intelligence is the capacity of a group to behave - under certain conditions - more intelligently than its individual members. This idea was pioneered by Norman Johnson at LANL who studied the role of cooperation and symbiosis in evolution. Self-organizing groups of ordinary people potentially can provide better solutions to complex problems than ones produced by experts. The architecture of interaction among members of such groups and integration of their decisions into the group decision are very important for these groups to be symbiotic.
Symbiotic intelligence as an approach has important difference from Artificial Intelligence (AI), where the goal is to make rational computational agents that can compete with humans in intelligent tasks. Symbiotic intelligence approaches find ways of combining human and computational agents strengths to achieve greater goals than they can achieve separately.
Many recent attempts to build symbiotic intelligence are based on computational infrastructure that helps to facilitates the flow of knowledge among members and helps them to create new knowledge collaboratively. Symbiotic intelligence methods draw inspiration from AI, artificial life, evolutionary computation, and human-computer interaction.
