Biological Theory 3 (1):63-72 (2008)

Archaeologists have proposed that behavioral knowledge of a tool can be conceptualized as a “recipe”—a unit of cultural transmission that combines the preparation of raw materials, construction, and use of the tool, and contingency plans for repair and maintenance. This parallels theories in cognitive psychology that behavioral knowledge is hierarchically structured—sequences of actions are divided into higher level, partially independent subunits. Here we use an agent-based simulation model to explore the costs and benefits of hierarchical learning relative to holistic learning, where entire behavioral sequences are learned in an all-or-nothing fashion, and diffusionist learning, where actions are completely independent. Hierarchical learning is favored under the reasonable assumptions that learning is associated with some degree of both error and cost, and that behavior can be grouped into subunits that repeat in one or more tool recipes. These general predictions can be tested in the archaeological and ethnographic record. Recent advances in evolutionary developmental biology have revealed a number of parallels between the hierarchically structured, recipe-like organization of behavioral knowledge that we examine here and the manner in which biological organisms develop
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DOI 10.1162/biot.2008.3.1.63
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References found in this work BETA

The Architecture of Complexity.Herbert A. Simon - 1962 - Proceedings of the American Philosophical Society 106.
Patterns of Culture.Ruth Benedict - 1934 - Philosophical Review 55:497.
Towards a Unified Science of Cultural Evolution.Alex Mesoudi, Andrew Whiten & Kevin N. Laland - 2006 - Behavioral and Brain Sciences 29 (4):329-347.
Patterns of Culture.Ruth Benedict - 1934 - Boston: Houghton Mifflin.

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Citations of this work BETA

Typology and Natural Kinds in Evo-Devo.Ingo Brigandt - 2021 - In Laura Nuño De La Rosa & Gerd Müller (eds.), Evolutionary Developmental Biology: A Reference Guide. Cham: Springer. pp. 483-493.
Modularity and Recombination in Technological Evolution.Mathieu Charbonneau - 2016 - Philosophy and Technology 29 (4):373-392.

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