A Language for Modeling Cultural Norms, Biases and Stereotypes for Human Behavior Models

Autor:	Steven Solomon, Michael van Lent, Mark G. Core, Milton Rosenberg, Paul Carpenter
Rok vydání:	2008
Předmět:	Cognitive science Cultural knowledge Cultural analysis Ethnography Encoding (semiotics) Affect (linguistics) ENCODE Psychology Social psychology Cultural competence ComputingMilieux_MISCELLANEOUS
DOI:	10.21236/ada480481
Popis:	Increasingly, the military has requirements for teaching cultural awareness, which demands flexible representations of cultural knowledge. The Culturally-Affected Behavior project seeks to define a language for encoding ethnographic data in order to capture cultural knowledge and use that knowledge to affect human behavior models. Having anthropologists encode ethnographic data will validate the language and will result in a library of culture models for immersive training.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f7b96ca1e39b043e5a0cc2e9968003a5 https://doi.org/10.21236/ada480481 Zobrazit plný text záznamu