The Search for Computational Intelligence
This work addresses the challenge of generating computational intelligence in cellular automata, with potential applications in social dynamics modeling, but it appears incremental as it builds on existing concepts like conceptual blending without claiming major breakthroughs.
The authors tackled the problem of evolving generative rules for cellular automata by defining and exploring several local evolution rules in simulation, using strategies from conceptual blending, and they discussed potential applications to modeling social dynamics.
We define and explore in simulation several rules for the local evolution of generative rules for 1D and 2D cellular automata. Our implementation uses strategies from conceptual blending. We discuss potential applications to modelling social dynamics.