Abstract
AbstractThis paper presents a cognitive map network model which models causal systems with interactive cognitive maps. Cognitive map is a family of cognitive models that have been widely applied in modeling causal knowledge of various systems like gaming and economic systems. Many causal systems have multiple components which causally evolve concurrently, interacting with each other. Modeling such a system as a whole (cognitive map) is not an ideal solution. Sometimes it is also not possible as the individual parties may not want to release their knowledge to other parties or the coordinating component. The cognitive map network model proposed in this paper represents a causal system as an ecosystem with individual components modeled as cognitive agents. It is a cognitive map ecosystem whose evolution is driven by the component cognitive agents. The cognitive ecosystem model is applied in a toy economic system to illustrate its power in study of hidden patterns.KeywordsFuzzy SystemCognitive ModelCognitive AgentPurchase DecisionSignal Flow GraphThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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