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Results: 105

#	Item
81	The Evolution of Division of Labor Heather J. Goldsby, David B. Knoester, Jeff Clune, Philip K. McKinley, Charles Ofria Department of Computer Science and Engineering Michigan State University East Lansing, Michigan 4882 Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:36:16 Avida Charles Ofria Deme Unit of selection Evolution Natural selection Organism Group selection Digital organism Evolutionary biology Biology Philosophy of biology
82	Proceedings of the First ICSE Workshop on Software Technologies for Ultra-Large-Scale (ULS) Systems, Minneapolis, Minnesota, May[removed]Applying Digital Evolution to the Development of Self-Adaptive ULS Systems∗ (Positi Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:35:12 Systems science Systems theory Avida Charles Ofria Evolutionary biology Control engineering Digital organism Adaptive system Adaptation Artificial life Science Cybernetics
83	Evolution of Division of Labor in Genetically Homogenous Groups ∗ Heather J. Goldsby, David B. Knoester, and Charles Ofria Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:36:59 Artificial life Microbiology Avida Digital organism Deme Organism Evolution Charles Ofria Bacteria Biology Evolutionary biology Philosophy of biology
84	Cockroaches, Drunkards, and Climbers: Modeling the Evolution of Simple Movement Strategies Using Digital Organisms Wesley R. Elsberry, Laura M. Grabowski, Charles Ofria, and Robert T. Pennock (E-35 Holmes Hall, Michigan Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:36:26 Digital organism Organisms Avida Science Charles Ofria Evolution Cockroach Nature Artificial life Evolutionary biology Biology
85	Task-switching costs promote the evolution of division of labor and shifts in individuality Heather J. Goldsbya,b,1, Anna Dornhausc, Benjamin Kerra,b, and Charles Ofriab,d a Department of Biology, University of Washingto Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:39:00 Microbiology Avida Digital organism Multicellular organism Organism Evolution Group selection Mutation rate Microorganism Biology Evolutionary biology Artificial life
86	In Proceedings of the 2009 IEEE Symposium on Artificial Life, Nashville, Tennessee, March[removed]Applying Digital Evolution to the Design of Self-Adaptive Software Benjamin E. Beckmann, Laura M. Grabowski, Philip K. McKin Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:36:15 Biology Artificial intelligence Avida Charles Ofria Digital organism Cybernetics Organism Evolution Autonomic computing Evolutionary biology Artificial life Science
87	Digitally Evolving Models for Dynamically Adaptive Systems∗ Heather J. Goldsby, David B. Knoester, Betty H.C. Cheng†, Philip K. McKinley, Charles A. Ofria {hjg, dk, chengb, mckinley, ofria}@cse.msu.edu Department of Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:35:08 Infographics Diagrams Models of computation Biology Avida Charles Ofria Digital organism State diagram Unified Modeling Language Science Artificial life UML diagrams
88	Digital Evolution of Behavioral Models for Autonomic Systems ∗ Heather J. Goldsby, Betty H.C. Cheng,† Philip K. McKinley, David B. Knoester, and Charles A. Ofria {hjg, chengb, mckinley, dk, ofria}@cse.msu.edu Departm Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:35:35 Models of computation Diagrams Theoretical computer science Infographics Communication design Avida Charles Ofria Digital organism State diagram UML diagrams Artificial life Science
89	Problem Decomposition Using Indirect Reciprocity in Evolved Populations Heather J. Goldsby, Sherri Goings, Jeff Clune, and Charles Ofria Department of Computer Science and Engineering Michigan State University East Lansi Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:36:29 Evolutionary biology Nature Avida Charles Ofria Organism Digital organism Evolution Generalist and specialist species Species Artificial life Biology Science
90	Evolutionary Potential is Maximized at Intermediate Diversity Levels Bess L. Walker and Charles Ofria Department of Computer Science and Engineering BEACON Center for the Study of Evolution in Action, Michigan State Univ Add to Reading List Source URL: ofria.com Language: English - Date: 2013-02-07 15:39:11 Science Knowledge Charles Ofria Avida Digital organism Evolvability Evolution Ecology Biodiversity Evolutionary biology Biology Artificial life

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