Membrane Computing - Current Results and Future Problems

In the last decade and especially after Adleman's experiment [1] a number of computational paradigms, inspired or gleaned from biochemical phenomena, are becoming of growing interest building a wealth of models, called generically Molecular Computing. New advances in, on the one hand, molecular and theoretical biology, and on the other hand, mathematical and computational sciences promise to make it possible in the near future to have accurate systemic models of complex biological phenomena. Recent advances in cellular Biology led to new models, hierarchically organised, defining a new emergent research area called Cellular Computing.

[1]  Gheorghe Paun,et al.  Grammar Systems: A Grammatical Approach to Distribution and Cooperation , 1995, ICALP.

[2]  Arto Salomaa,et al.  New Trends in Formal Languages , 1997, Lecture Notes in Computer Science.

[3]  Marian Gheorghe,et al.  Population P Systems , 2004, J. Univers. Comput. Sci..

[4]  Marian Gheorghe,et al.  Cell communication in tissue P systems: universality results , 2005, Soft Comput..

[5]  Nicholas R. Jennings,et al.  On agent-based software engineering , 2000, Artif. Intell..

[6]  B. Alberts,et al.  Molecular Biology of the Cell 4th edition , 2007 .

[7]  L M Adleman,et al.  Molecular computation of solutions to combinatorial problems. , 1994, Science.

[8]  Gheorghe Paun,et al.  Membrane Computing , 2002, Natural Computing Series.

[9]  Gheorghe Paun,et al.  Second Brainstorming Week on Membrane Computing , 2004, J. Univers. Comput. Sci..

[10]  Erzsébet Csuhaj-Varjú,et al.  Networks of Parallel Language Processors , 1997, New Trends in Formal Languages.

[11]  Gheorghe Paun,et al.  Computing with Membranes , 2000, J. Comput. Syst. Sci..

[12]  Marian Gheorghe,et al.  An Appealing Computational Mechanism Drawn from Bacterial Quorum Sensing , 2005, Bull. EATCS.

[13]  Gheorghe Paun,et al.  Grammar Systems , 1997, Handbook of Formal Languages.

[14]  Marian Gheorghe,et al.  Cell Communication in Tissue P Systems and Cell Division in Population P Systems , 2004 .

[15]  N. A. Whitehead,et al.  Quorum sensing as a population-density-dependent determinant of bacterial physiology. , 2001, Advances in microbial physiology.

[16]  Gheorghe Paun,et al.  Membrane Computing: International Workshop, WMC 2003, Tarragona, Spain, July 17-22, 2003, Revised Papers , 2004 .

[17]  Erzsébet Csuhaj-Varjú,et al.  Eco-Grammar Systems: A Grammatical Framework for Studying Lifelike Interactions , 1997, Artificial Life.

[18]  Miguel Cámara,et al.  QUORUM SENSING AND THE POPULATION-DEPENDENT CONTROL OF VIRULENCE , 2001 .

[19]  K. Winzer,et al.  Bacterial cell-to-cell communication: sorry, can't talk now - gone to lunch! , 2002, Current opinion in microbiology.

[20]  J. Davies,et al.  Molecular Biology of the Cell , 1983, Bristol Medico-Chirurgical Journal.

[21]  Gheorghe Paun,et al.  Membrane Computing: International Workshop, WMC-CdeA 2002, Curtea de Arges, Romania, August 19-23, 2002, Revised Papers , 2002 .

[22]  Matteo Cavaliere Evolution-Communication P Systems , 2002, WMC-CdeA.

[23]  Carlos Martín-Vide,et al.  Membrane computing : International Workshop, WMC 2003 : Tarragona, Spain, July 17-22, 2003 : revised papers , 2004 .

[24]  H. Arnstein The molecular biology of the cell : B. Alberts, D. Bray, J. Lewis, M. Raff, K. Roberts and J.D. Watson Garland Publishing; New York, London, 1983 xxxix + 1181 pages. $33.95 (hardback); $27.00, £14.95 (paperback, only in Europe) , 1986 .