University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Spring 2011 Modeling Memes: A Memetic View of Affordance Learning Benjamin D. Nye University of Pennsylvania,
[email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Artificial Intelligence and Robotics Commons, Cognition and Perception Commons, Other Ecology and Evolutionary Biology Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons, Social Psychology Commons, and the Statistical Models Commons Recommended Citation Nye, Benjamin D., "Modeling Memes: A Memetic View of Affordance Learning" (2011). Publicly Accessible Penn Dissertations. 336. https://repository.upenn.edu/edissertations/336 With all thanks to my esteemed committee, Dr. Silverman, Dr. Smith, Dr. Carley, and Dr. Bordogna. Also, great thanks to the University of Pennsylvania for all the opportunities to perform research at such a revered institution. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/336 For more information, please contact
[email protected]. Modeling Memes: A Memetic View of Affordance Learning Abstract This research employed systems social science inquiry to build a synthesis model that would be useful for modeling meme evolution. First, a formal definition of memes was proposed that balanced both ontological adequacy and empirical observability. Based on this definition, a systems model for meme evolution was synthesized from Shannon Information Theory and elements of Bandura's Social Cognitive Learning Theory. Research in perception, social psychology, learning, and communication were incorporated to explain the cognitive and environmental processes guiding meme evolution. By extending the PMFServ cognitive architecture, socio-cognitive agents were created who could simulate social learning of Gibson affordances.