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This paper surveys the historical and theoretical foundations of computational belief change, tracing the evolution from Doyle's taxonomy to the AGM framework and providing an implementation roadmap for contemporary approaches.
A user observes the current state of internal AI applications: general-purpose agents with DeepSeek V4 Pro can optimize repetitive tasks, but traditional role departments often propose complex requirements that are hard to implement, while secretly using them privately, demonstrating a kind of survival wisdom.
This paper proposes 'Soul Computing', a theoretical framework for building intelligent agents with independent consciousness, distinguishing it from affective computing and traditional virtual humans, and outlines a hierarchical technical architecture and core challenges for implementation.