Cognitive radio networks are supposed to be capable of sensing their operating environment (with little or no prior information) and learning to adapt their behavior accordingly. The authors note that such a cognitive process is inherent in human behavior as well.
One application of these networks is in dynamic spectrum access. Human beings evolve by learning to interact with each other for survival, common good, economic gain, and so on. Can models for these interactive behaviors be used by nodes in a cognitive radio network? Will we then see cognitive radio networks evolve into some human societies? Will we observe previously unseen societal behaviors emerge as a result of random perturbations due to fading, mobility, and sensory failures? We also note that some shortcomings (e.g., inability to address irrational behavior) in using microeconomic game theory and Nash equilibrium to study interacting cognitive radio nodes may be overcome by using anthropological models. (Published Abstract Provided)