13th International Conference on Membrane Computing - MTA Sztaki

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A.E. Porreca, A. Leporati, G. Mauri, C. Zandron 6. Porreca, A.E., Leporati, A., Mauri, G., Zandron, C.: Introducing a space complexity measure for P systems. <strong>International</strong> Journal of Computers, Communications & Control 4(3), 301310 (2009) 7. Porreca, A.E., Leporati, A., Mauri, G., Zandron, C.: P systems with active membranes working in polynomial space. <strong>International</strong> Journal of Foundations of Computer Science 22(1), 6573 (2011) 8. Ruzzo, W.L.: On uniform circuit complexity. Journal of Computer and System Sciences 22(3), 365383 (1981) 384
<strong>13th</strong> <strong>International</strong> <strong>Conference</strong> on Membrane Computing, CMC13, Budapest, Hungary, August 28 - 31, 2012. Proceedings, pages 385 - 405. Modelling Ecological Systems with the Calculus of Wrapped Compartments ⋆ Pablo Ramón 1 and Angelo Troina 2 1 Instituto de Ecología, Universidad Tecnica Particular de Loja, Ecuador 2 Dipartimento di Informatica, Università di Torino, Italy Abstract. The Calculus of Wrapped Compartments is a framework based on stochastic multiset rewriting in a compartmentalised setting originally developed for the modelling and analysis of biological interactions. In this paper, we propose to use this calculus for the description of ecological systems and we provide the modelling guidelines to encode within the calculus some of the main interactions leading ecosystems evolution. As a case study, we model the distribution of height of Croton wagneri, a shrub constituting the endemic predominant species of the dry ecosystem in southern Ecuador. In particular, we consider the plant at different altitude gradients (i.e. at different temperature conditions), to study how it adapts under the effects of global climate change. Keywords: Calculus of Wrapped Compartments, Stochastic Simulations, Computational Ecology 1 Introduction Answers to ecological questions could rarely be formulated as general laws: ecologists deal with in situ methods and experiments which cannot be controlled in a precise way since the phenomena observed operate on much larger scales (in time and space) than man can effectively study. Actually, to carry on ecological analyses, there is the need of a “macroscope”! Theoretical and Computational Ecology, the scientific disciplines devoted to the study of ecological systems using theoretical methodologies together with empirical data, could be considered as a fundamental component of such a macroscope. Within these disciplines, quantitative analysis, conceptual description techniques, mathematical models, and computational simulations are used to understand the fundamental biological conditions and processes that affect populations dynamics (given the underlying assumption that phenomena observable across species and ecological environments are generated by common, mechanistic processes) [39]. Ecological models can be deterministic or stochastic [18]. Given an initial system, deterministic simulations always evolve in the same way, producing a ⋆ This work has been partially sponsored by the BioBITs Project (Converging Technologies 2007, area: Biotechnology-ICT), Regione Piemonte. Angelo Troina is visiting the Instituto de Ecología at UTPL (Loja, Ecuador) within the Prometeo program founded by SENESCYT. 385
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Erzsébet Csuhaj-Varjú Marian Gheo
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Editors Erzsébet Csuhaj-Varjú Dep
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Preface In addition to the texts or
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Contents M.A. Martínez-del-Amor, I
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(Tissue) P systems with decaying ob
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Sorin Istrail, Solomon Marcus of pr
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Sorin Istrail, Solomon Marcus proba
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Sorin Istrail, Solomon Marcus stati
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Sorin Istrail, Solomon Marcus 4.
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Sorin Istrail, Solomon Marcus his f
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Turing’s three pioneering initiat
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Turing’s three pioneering initiat
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MP systems for systems biology tere
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Yu. Rogozhin this obstacle and to g
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Yu. Rogozhin 10. J. Cocke, M. Minsk
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M. Stannett The question arises, wh
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Regular Contributions
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T. Ahmed, G. DeLancy, A. Paun almos
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T. Ahmed, G. DeLancy, A. Paun purpo
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T. Ahmed, G. DeLancy, A. Paun Fig.
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T. Ahmed, G. DeLancy, A. Paun gener
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T. Ahmed, G. DeLancy, A. Paun
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T. Ahmed, G. DeLancy, A. Paun Table
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T. Ahmed, G. DeLancy, A. Paun 14. H
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Asynchronuous and maximally paralle
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A. Alhazov, R. Freund, H. Heikenwä
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A. Alhazov, Yu. Rogozhin With coope
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A. Alhazov, Yu. Rogozhin 2.3 P Syst
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A. Alhazov, Yu. Rogozhin Such a sys
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A. Alhazov, Yu. Rogozhin applied, f
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A. Alhazov, Yu. Rogozhin - one extr
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B. Aman, G. Ciobanu formalisms is e
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B. Aman, G. Ciobanu membranes appea
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B. Aman, G. Ciobanu • [ ] recep r
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B. Aman, G. Ciobanu Definition 3. A
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B. Aman, G. Ciobanu { w i , for all
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B. Aman, G. Ciobanu The four transi
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B. Aman, G. Ciobanu A state space i
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B. Aman, G. Ciobanu to reiterate th
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On structures and behaviors of spik
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L. Cienciala, L. Ciencialová, M. P
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H. ElGindy, R. Nicolescu, H. Wu pat
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H. ElGindy, R. Nicolescu, H. Wu pro
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H. ElGindy, R. Nicolescu, H. Wu (b)
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H. ElGindy, R. Nicolescu, H. Wu 8 r
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H. ElGindy, R. Nicolescu, H. Wu Pse
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H. ElGindy, R. Nicolescu, H. Wu to
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H. ElGindy, R. Nicolescu, H. Wu ter
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H. ElGindy, R. Nicolescu, H. Wu 4.
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H. ElGindy, R. Nicolescu, H. Wu Tab
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H. ElGindy, R. Nicolescu, H. Wu 6 R
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H. ElGindy, R. Nicolescu, H. Wu (wh
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A formal framework for P systems wi
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A new approach for solving SAT by P
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Maintenance of chronobiological inf
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4 3.5 3 2.5 2 1.5 1 0.5 0 0 50 100
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Using a kernel P system to solve th
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Spiking neural P systems with funct
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L.F. Macías-Ramos, M.J. Pérez-Jim
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Membranes with local environments A
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Membranes with local environments T
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Membranes with local environments -
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Membranes with local environments -
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Membranes with local environments I
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On efficient algorithms for SAT dis
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On efficient algorithms for SAT 2 S
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On efficient algorithms for SAT 2.4
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On efficient algorithms for SAT inc
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S. Verlan, J. Quiros more relevance
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S. Verlan, J. Quiros For a regular
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S. Verlan, J. Quiros digital FPGA c
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S. Verlan, J. Quiros where k j = N
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S. Verlan, J. Quiros Now let us con
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S. Verlan, J. Quiros We consider a
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S. Verlan, J. Quiros the present co
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S. Verlan, J. Quiros Table 2 gives
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S. Verlan, J. Quiros Using similar
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S. Verlan, J. Quiros 5. M. Maliţa,
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Simplifying Event-B models of P sys
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Author Index Adorna H., 143 Agrigor
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