Tracking Information Flow through the Environment: Simple Cases of Stigmerg
Tracking Information Flow through the Environment: Simple Cases of Stigmerg
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跟踪环境中的信息流：Stigmerg 的简单案例
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Chrystopher L. Nehaniv
中科院分区：
文献类型：
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作者：
A. S. Klyubin;D. Polani;Chrystopher L. Nehaniv
最近在传感器进化方面的工作旨在以形式化的信息论方式研究感知-行动回路。通过将传感器视为提取信息，将执行器视为有能力将信息“印”在环境上，我们可以将代理视为创造、维护和利用各种信息流。本文利用香农信息流研究智能体的感知-行动循环。我们使用信息论来跟踪和揭示智能体与其环境之间的重要关系。例如，我们提供了耻辱感的信息理论特征，并进化出有限状态自动机作为代理控制器来参与耻辱感通信。我们对进化的自动机和信息流的分析提供了对进化如何组织感觉信息获取、内隐和外隐记忆、处理和行动选择的见解。
Recent work in sensor evolution aims at studying the perception-action loop in a formalized information-theoretic manner. By treating sensors as extracting information and actuators as having the capability to “imprint” information on the environment we can view agents as creating, maintaining and making use of various information flows. In our paper we study the perception-action loop of agents using Shannon information flows. We use information theory to track and reveal the important relationships between agents and their environment. For example, we provide an information-theoretic characterization of stigmergy and evolve finite-state automata as agent controllers to engage in stigmergic communication. Our analysis of the evolved automata and the information flow provides insight into how evolution organizes sensoric information acquisition, implicit internal and external memory, processing and action selection.