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'''The IJCAI-09 Workshop on Learning Structural Knowledge From Observations''' Human cognition organizes knowledge in different complexity levels: higher-level knowledge is formed by first acquiring simple concepts, which are then combined to learn complex ones. As a result, many cognitive architectures use structural models to represent relations between knowledge of different complexity. Structural modeling has led to a number of representation and reasoning formalisms including frames, schemas, abstractions, hierarchical task networks (HTNs), and goal graphs among others. These formalisms have in common the use of certain kinds of constructs (e.g., objects, goals, skills, and tasks) that represent knowledge of varying degrees of complexity and that are connected through structural relations. [[Category:Workshop]]
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