5,112 research outputs found
Playing with Derivation Modes and Halting Conditions
In the area of P systems, besides the standard maximally parallel derivation
mode, many other derivation modes have been investigated, too. In this paper, many
variants of hierarchical P systems and tissue P systems using different derivation modes
are considered and the effects of using di erent derivation modes, especially the maximally
parallel derivation modes and the maximally parallel set derivation modes, on the
generative and accepting power are illustrated. Moreover, an overview on some control
mechanisms used for (tissue) P systems is given.
Furthermore, besides the standard total halting mode, we also consider different halting
conditions such as unconditional halting and partial halting and explain how the use
of different halting modes may considerably change the computing power of P systems
and tissue P systems
The DBSCAN Clustering Algorithm on P Systems
We show how to implement the DBSCAN clustering algorithm (Density
Based Spatial Clustering of Applications with Noise) on membrane systems using evolution
rules with promoters and priorities
Membrane Systems with Priority, Dissolution, Promoters and Inhibitors and Time Petri Nets
We continue the investigations on exploring the connection between membrane
systems and time Petri nets already commenced in [4] by extending membrane
systems with promoters/inhibitors, membrane dissolution and priority for rules compared
to the simple symbol-object membrane system. By constructing the simulating
Petri net, we retain one of the main characteristics of the Petri net model, namely, the
firings of the transitions can take place in any order: we do not impose any additional
stipulation on the transition sequences in order to obtain a Petri net model equivalent to
the general Turing machine. Instead, we substantially exploit the gain in computational
strength obtained by the introduction of the timing feature for Petri nets
An overview of participatory research and learning processes and their relevance to watershed management and development
This paper outlines general concepts of participatory research and learning; the relevance of participatory approaches to natural resources management and watershed management in particular; elements of good practice for participatory research and learning in the context of gendered, adaptive watershed management; and considerations for proposal development and review
(Tissue) P Systems with Anti-Membranes
The concept of a matter object being annihilated when meeting its corresponding
anti-matter object is taken over for membranes as objects and anti-membranes
as the corresponding annihilation counterpart in P systems. Natural numbers can be
represented by the corresponding number of membranes with a speci c label. Computational
completeness in this setting then can be obtained with using only elementary
membrane division rules, without using objects. A similar result can be obtained for tissue
P systems with cell division rules and cell / anti-cell annihilation rules. In both cases,
as derivation modes we may take the standard maximally parallel derivation modes as
well as any of the maximally parallel set derivation modes (non-extendable (multi)sets of
rules, (multi)sets with maximal number of rules, (multi)sets of rules a ecting the maximal
number of objects)
Search Based Software Engineering in Membrane Computing
This paper presents a testing approach for kernel P Systems (kP systems),
based on test data generation for a given scenario. This method uses Genetic Algorithms
to generate the input sets needed to trigger the given computation steps
Beyond Generalized Multiplicities: Register Machines over Groups
Register machines are a classic model of computing, often seen as a canonical
example of a device manipulating natural numbers. In this paper, we de ne register
machines operating on general groups instead. This generalization follows the research
direction started in multiple previous works. We study the expressive power of register
machines as a function of the underlying groups, as well as of allowed ingredients (zero
test, partial blindness, forbidden regions). We put forward a fundamental connection
between register machines and vector addition systems. Finally, we show how registers
over free groups can be used to store and manipulate strings
Further Results on the Power of Generating APCol Systems
In this paper we continue our investigations in APCol systems (Automatonlike
P colonies), variants of P colonies where the environment of the agents is given by a
string and the functioning of the system resembles to the functioning of standard nite
automaton. We rst deal with the concept of determinism in these systems and compare
deterministic APCol systems with deterministic register machines. Then we focus on
generating non-deterministic APCol systems with only one agent. We show that these
systems are as powerful as 0-type grammars, i.e., generate any recursively enumerable
language. If the APCol system is non-erasing, then any context-sensitive language can
be generated by a non-deterministic APCol systems with only one agent
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