20260122-KARL: Agents play the knowledge agreement game and adapt their knowledge base using a single adaptation operator

This archive contains the results of a computational cultural knowledge evolution experiment [1,2]. Experiment design Agents are playing the knowledge-based agreement game using their symbolic knowledge base.Agents adapt their knowledge base by using a single adaptation operator. Hypothesis: Agents using a single adaptation operator do not reach a consensus on decisions to take Experimental Plan The independent variables have been varied as follows: LEARNING_METHOD = [singleop1, singleop2, singleop3, singleop4, singleop5, singleop6] SEED = [24, 2727] (randomly selected) KB_INIT_METHOD = [random, consistent] [1] https://sake.re/20260122-KARL[2] https://gitlab.inria.fr/moex/karlOperators本存档包含一项计算式文化知识演化实验的研究结果[1,2]。 ### 实验设计 智能体（Agent）依托自身的符号知识库（symbolic knowledge base）开展基于知识的共识博弈，并通过单一适配算子（adaptation operator）对自身知识库进行适配更新。 ### 研究假设 仅使用单一适配算子的智能体，无法就决策方案达成共识。 ### 实验方案 本实验对以下自变量进行了变量控制： - 学习方法（LEARNING_METHOD）：取值为 [singleop1, singleop2, singleop3, singleop4, singleop5, singleop6] - 随机种子（SEED）：取值为 [24, 2727]（随机选取） - 知识库初始化方法（KB_INIT_METHOD）：取值为 [random, consistent] [1] https://sake.re/20260122-KARL [2] https://gitlab.inria.fr/moex/karlOperators