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Soccer Science and the Bayes Community: Exploring the Cognitive Implications of Modern Scientific Communication
Author(s) -
Shrager Jeff,
Billman Dorrit,
Convertino Gregorio,
Massar J. P.,
Pirolli Peter
Publication year - 2010
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/j.1756-8765.2009.01049.x
Subject(s) - computer science , cache , cognition , bayes' theorem , focus (optics) , data science , human–computer interaction , artificial intelligence , psychology , bayesian probability , physics , neuroscience , optics , operating system
Science is a form of distributed analysis involving both individual work that produces new knowledge and collaborative work to exchange information with the larger community. There are many particular ways in which individual and community can interact in science, and it is difficult to assess how efficient these are, and what the best way might be to support them. This paper reports on a series of experiments in this area and a prototype implementation using a research platform called CACHE. CACHE both supports experimentation with different structures of interaction between individual and community cognition and serves as a prototype for computational support for those structures. We particularly focus on CACHE‐BC, the Bayes community version of CACHE, within which the community can break up analytical tasks into “mind‐sized” units and use provenance tracking to keep track of the relationship between these units.