20260122-KARL: Agents play the knowledge agreement game and adapt their knowledge base using a single adaptation operator
Abstract
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
Fields of Study & Subjects
Language and cultural evolution
Multi-Agent Systems and Negotiation
Evolutionary Algorithms and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN
- Document type
- Dataset