Analysis and Effects of Generative Entrenchment in Complex  Systems
{'Code': '08080301', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DBI', 'LongName': 'Div Of Biological Infrastructure'}}
{'SignBlockName': 'Ronald J. Overmann', 'PO_EMAI': None, 'PO_PHON': None}
The generative entrenchment of an entity is a measure of how much               of the generated structure or activity of a complex system                      depends upon the presence or activity of that entity.  It has                   been demonstrated that entities with higher degrees of generative               entrenchment tend to be more conservative in evolutionary changes               of such systems.  Models of complex structures incorporating the                effects of generative entrenchment have demonstrated their                      relevance in analyzing and explaining a variety of developmental                and evolutionary phenomena.  Professor Wimsatt and his graduate                 student will extend prior simulations and analyses of a variety                 of cases, problems and investigations of a number or results on                 the evolution of gene control networks.  They will extend the                   work of Kauffman, of their own work, and others to investigate                  the influence of different degrees of generative entrenchment on                the behavior of these networks and their evolution.  Since                      virtually any system exhibits differential degrees of generative                entrenchment among its parts and activities, these studies and                  results have in addition broad potential application for                        theoretical, simulation, and experimental analyses in a number of               areas.  These areas include:  developmental programs and their                  significance for evolution, macroevolutionary change, the innate-               acquired distinction and investigations using it in linguistics                 and cognitive psychology, developmental constraints, constraints                on the evolution of complex adaptations, and even in the analyses               of scientific change.
{'FirstName': 'William', 'LastName': 'Wimsatt', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William C Wimsatt', 'EmailAddress': 'wwim@uchicago.edu', 'NSF_ID': '000155515', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606375418', 'PhoneNumber': '7737028669', 'StreetAddress': '5801 S ELLIS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': 'ZUE9HKT2CLC9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CHICAGO', 'ORG_PRNT_UEI_NUM': 'ZUE9HKT2CLC9'}
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[{'Code': '1127', 'Text': 'Evolutionary Processes'}, {'Code': '1353', 'Text': 'Hist & Philosophy of SET'}]
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