Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition

作者: Stan Franklin , Michael H. Ferkin

DOI: 10.1007/978-3-540-78534-7_15

关键词:

摘要: The field of animal cognition (comparative cognition, cognitive ethology), the study modules and processes in domain ecologically relevant behaviors, has become mainstream biology. its own journals, books, organization conferences. As do other scientists, ethologists employ conceptual models, mathematical models sometime computational models. Most these all three types, are narrow scope, modeling only one or a few processes. This position chapter advocates, as an additional strategy, studying by means control architectures based on biologically psychologically inspired, broad, integrative, hybrid cognition. LIDA model is such model. In particular, fleshes out theory underlies proposed ontology for study. Using model, experiments can be replicated artificial environments virtual software agents controlled architectures. Given sufficiently capable sensors effectors, could real using robots. Here we explore possibility robotic vole to replicate, predict, behavior live voles, thus applying intelligence ethology.

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