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While there is wide variety of ways in which Cultural Algorithms can be implemented, there is a general metaphor that describes the learning process in all of them. The metaphor is termed the “Cultural Engine.” The basic idea is that the new ideas generated in the Belief Space by the incorporation of new experiences into the existing knowledge sources produce the capacity for changes in behavior. This capacity can be viewed as entropy in a thermodynamic sense. The influence function in conjunction with the knowledge distribution function can then distribute this potential for variation through the network of agents in the Population Space. Their behaviors taken together provide a potential for new ideas that is then communicated to the Belief Space and the cycle continues.

We can express the Cultural Algorithm Engine in terms of the entropy‐based laws of thermodynamics. The basic laws of classical thermodynamic concerning systems in equilibrium are given below [4]: