Artificial Cell Model Used for Information Processing

[1]  Risto Miikkulainen,et al.  A Taxonomy for Artificial Embryogeny , 2003, Artificial Life.

[2]  Przemyslaw Prusinkiewicz,et al.  The Algorithmic Beauty of Plants , 1990, The Virtual Laboratory.

[3]  A. Force,et al.  Preservation of duplicate genes by complementary, degenerative mutations. , 1999, Genetics.

[4]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[5]  Aristid Lindenmayer,et al.  Adding Continuous Components to L-Systems , 1974, L Systems.

[6]  Peter J. Bentley,et al.  On growth, form and computers , 2003 .

[7]  Susan Stepney,et al.  Using feedback to regulate gene expression in a developmental control architecture , 2007, GECCO '07.

[8]  Julian Francis Miller,et al.  Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair , 2003, ECAL.

[9]  A. Lindenmayer.  Mathematical models for cellular interactions in development. I. Filaments with one-sided inputs. , 1968, Journal of theoretical biology.

[10]  F. Crick,et al.  Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid , 1953, Nature.

[11]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[12]  Larry D. Pyeatt,et al.  A comparison between cellular encoding and direct encoding for genetic neural networks , 1996 .

[13]  Peter J. Bentley,et al.  Computational Embryology: Past, Present and Future , 2000 .

[14]  S. Kauffman.  Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[15]  T. Mestl,et al.  A mathematical framework for describing and analysing gene regulatory networks. , 1995, Journal of theoretical biology.

[16]  Frank Dellaert,et al.  Toward an evolvable model of development for autonomous agent synthesis , 1994 .

[17]  Yukiko Matsuoka,et al.  Using process diagrams for the graphical representation of biological networks , 2005, Nature Biotechnology.

[18]  M. Tomita.  Whole-cell simulation: a grand challenge of the 21st century. , 2001, Trends in biotechnology.

[19]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[20]  Kunihiko Kaneko,et al.  Life: An Introduction to Complex Systems Biology , 2006 .

[21]  Sanjeev Kumar,et al.  Investigating computational models of development for the construction of shape and form , 2004 .

[22]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[23]  Jordan B. Pollack,et al.  Creating High-Level Components with a Generative Representation for Body-Brain Evolution , 2002, Artificial Life.

[24]  Gregory S. Hornby,et al.  The advantages of generative grammatical encodings for physical design , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[25]  A. Turing.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[26]  David H. Sharp,et al.  A connectionist model of development. , 1991, Journal of theoretical biology.

[27]  Gunnar Tufte,et al.  Towards Development on a Silicon-based Cellular Computing Machine , 2005, Natural Computing.