Abstract
The BDI model has always been the focus of subject modeling research, which includes three kinds of thinking states of the rational subject: Belief, Desire and Intention. Belief is the cognition of agent to the world; it is a collection of environmental information, other agent information, and its own information that the agent has; and it is also the basis of the agent's thinking activity. Due to differences in the individual's living environment and experience, the formation of heterogeneous beliefs is an important issue in the BDI model study. This article divides individual belief set into two parts: knowledge belief and achievable belief. This article proposes an overall framework for the formation of individual heterogeneity beliefs: First, the individual's knowledge experience is modeled, and the empirical knowledge is structured and quantified into binary propositions; then the BP neural network learn and memory propositions of different combinations to form heterogeneous beliefs. Experiments show that this method can simulate the heterogeneity of individual beliefs caused by the individual's own experience, and can realize the belief generation mechanism of gradual information flow, limited attention and heterogeneous priors.
Highlights
IntroductionThe study of agent rationality has two different methods: based on logic and countermeasure decision theory [1]
The study of agent rationality has two different methods: based on logic and countermeasure decision theory [1].The logic-based approach generally uses the agent's state of mind model
In the method based on countermeasure theory and decision theory, the belief is described by the probabilities of different behaviors causing different consequences, which is commonly used in economics
Summary
The study of agent rationality has two different methods: based on logic and countermeasure decision theory [1]. The true state of mind of human beings is formed by the brain through its special neural network structure and continuously predicting the future based on a large number of memories. This is the key to intelligence [14]. In the study of existing heterogeneity beliefs, the logical and formal expression methods, though rigorous, cannot well reflect the subject’s choice of behavioral line and probability estimation of the results; the method based on countermeasure theory is simple and easy to understand , but lacks rigorous reasoning similar to the human brain. The individual learning knowledge (experience) appears in the form of propositions and is structured and binary quantified
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