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Ponencia
Computing Backwards with P Systems
(Fénix Editora, 2009)
Searching all the configurations C′ such that produce a given configuration C, or, in other words, computing backwards in Membrane Computing is an extremely hard task. The current approximations are based in heavy hand-made ...
Ponencia
Fractals and P Systems
(Fénix Editora, 2006)
In this paper we show that the massive parallelism, the synchronous appli- cation of the rules, and the discrete nature of their computation, among other features, lead us to consider P systems as natural tools for dealing ...
Ponencia
Looking for P Truth
(Fénix Editora, 2004)
In a general sense, Logic studies how to derive new pieces of in- formation from previous ones. In this paper we explore the analogies between P systems, where new configurations can be obtained from previous ones by using ...
Ponencia
Membrane Computing Meets Artificial Intelligence: A Case Study
(Fénix Editora, 2010)
The usual way to find a solution for a NP complete problem with Membrane Computing techniques is by brute force algorithms where all the feasible solutions are generated and they are checked simultaneously by using massive ...
Ponencia
A Cellular Sudoku Solver
(Fénix Editora, 2010)
Sudoku is a very popular puzzle which consists on placing several numbers in a squared grid according to some simple rules. In this paper we present an efficient family of P systems which solve sudoku puzzles of any order ...
Ponencia
Solving the Partition Problem by Using Tissue-like P Systems with Cell Division
(Fénix Editora, 2008)
Tissue-like P systems with cell division is a computing model in the framework of Membrane Computing that shares with the spiking neural P system model a similar biological inspiration. Namely, both models are based on ...
Ponencia
Implementing Local Search with Membrane Computing
(Fénix Editora, 2011)
Local search is currently one of the most used methods for finding solution in real-life problems. In this paper we present an implementation of local search with Membrane Computing techniques applied to the N-queens ...
Ponencia
A First Model for Hebbian Learning with Spiking Neural P Systems
(Fénix Editora, 2008)
Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration based on the transmission of information among neurons. In this paper we present a first model for ...
Ponencia
Solving 3-COL with Tissue P Systems
(Fénix Editora, 2006)
In the literature, several examples of the efficiency of cell-like P systems in order to solve NP-complete problems in polynomial time can be found. Recently, various new models of tissue-like P systems have received ...
Ponencia
Towards a Programming Language in Cellular Computing
(Fénix Editora, 2004)
Several solutions to hard numerical problems using P systems have been presented recently, and strong similarities in their designs have been no- ticed. In this paper we present a new solution, an e®ective one to the ...