## Zipf's law as a necessary condition for mitigating the scaling problem in rule-based agents |

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abstract algebra action contribution action variation activity allowable rules assets bits Blair causes the scaling choose Classifier System Model constant ceiling continuous mathematics corresponding cost current inquiry demands faster-than-linear growth diagram discrete mathematical dissertation model distance documents domain energy utilization energy-converting systems environment equal expert systems Figure firms function point analysis function points future research Game Tree Genetic Algorithm growing Holland homomorphism hyperbolic function hyperbolic Pareto histogram integral Least Action least-action principle least-action strategy lookahead mass Mid-Range Rules minimal energy dissipation minimize dissipation mitigate nearby rules necessary condition number of rules optimal path outcomes Over-Utilization of Nearby payoff function performance physical system Principle of Least procedure provides Q-Morphisms rank rank-frequency product re-usable represents research question retrieval routines rule fetch rule selection strategy rule-based information-processing agent rule's satisficing scaling problem arises schema second rule semiosis sequence specific step step-n+1 rule strength register utilization frequency zero Zipf s Law