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This is a Quantitative Study study.

October 2, 2025Open Access

Agentic Information Theory: Ergodicity and Intrinsic Semantics of Information Processes

Key Points

The study analyzes the ergodicity of information as cognitive agents interact with complex environments, aiding memory processes.
Key findings reveal that Shannon information measures guide agents in adapting to uncertainty in their surroundings.
Through stochastic processes, agents generate real-time information that reflects their cognitive interpretations and environmental interactions.
Insights from this research may enhance understanding of adaptive behaviors in cognitive systems and their information processing.

Abstract

We develop information theory for the temporal behavior of memoryful agents moving through complex -- structured, stochastic -- environments. We introduce and explore information processes -- stochastic processes produced by cognitive agents in real-time as they interact with and interpret incoming stimuli. We provide basic results on the ergodicity and semantics of the resulting time series of Shannon information measures that monitor an agent's adapting view of uncertainty and structural correlation in its environment.

Agentic Information Theory: Ergodicity and Intrinsic Semantics of Information Processes

Key Points

Abstract

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