Modeling Ecosystems Using P Systems: The Bearded Vulture, a Case Study

Local search is currently one of the most used methods for finding solutions in real-life problems. It is usually considered when the research is interested in the final solution of the problem instead of the how the solution is reached. In this paper, the authors present an implementation of local search with Membrane Computing techniques applied to the N-queens problem as a case study. A CLIPS program inspired in the Membrane Computing design has been implemented and several experiments have been performed. The obtained results show better average times than those obtained with other Membrane Computing implementations that solve the N-queens problem.

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Kernel P Systems Modelling, Testing and Verification - Sorting Case Study

Membrane Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54072-6_15 ◽

2017 ◽

pp. 233-250 ◽

Cited By ~ 2

Author(s):

Marian Gheorghe ◽

Rodica Ceterchi ◽

Florentin Ipate ◽

Savas Konur

Keyword(s):

P Systems ◽

Systems Modelling

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MODULAR ASSEMBLY OF CELL SYSTEMS BIOLOGY MODELS USING P SYSTEMS

International Journal of Foundations of Computer Science ◽

10.1142/s0129054109006668 ◽

2009 ◽

Vol 20 (03) ◽

pp. 427-442 ◽

Cited By ~ 27

Author(s):

FRANCISCO J. ROMERO-CAMPERO ◽

JAMIE TWYCROSS ◽

MIGUEL CÁMARA ◽

MALCOLM BENNETT ◽

MARIAN GHEORGHE ◽

...

Keyword(s):

Systems Biology ◽

Cellular Systems ◽

P Systems ◽

Modular Assembly ◽

Bacterial Colony ◽

Cell Systems ◽

Modelling Framework ◽

Spatial Localisation ◽

Cellular Compartments

In this paper we propose an extension of a systems/synthetic biology modelling framework based on P systems that explicitly includes modularity. Modularisation in cellular systems can be produced by chemical specificity, spatial localisation and/or temporal modulation within cellular compartments. The first two of these modularisation features, the focus of this paper, can be easily specified and analysed in P systems using sets of rewriting rules to describe chemical specificity and membranes to represent spatial localisation. Our methodology enables the assembly of cell systems biology models by combining modules which represent functional subsystems. A case study consisting of a bacterial colony system is presented to illustrate our approach.

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Local Search with P Systems

International Journal of Natural Computing Research ◽

10.4018/jncr.2011040104 ◽

2011 ◽

Vol 2 (2) ◽

pp. 47-55 ◽

Cited By ~ 5

Author(s):

Miguel A. Gutiérrez-Naranjo ◽

Mario J. Pérez-Jiménez

Keyword(s):

Local Search ◽

Membrane Computing ◽

Real Life ◽

P Systems ◽

Final Solution ◽

Life Problems

Local search is currently one of the most used methods for finding solutions in real-life problems. It is usually considered when the research is interested in the final solution of the problem instead of the how the solution is reached. In this paper, the authors present an implementation of local search with Membrane Computing techniques applied to the N-queens problem as a case study. A CLIPS program inspired in the Membrane Computing design has been implemented and several experiments have been performed. The obtained results show better average times than those obtained with other Membrane Computing implementations that solve the N-queens problem.

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A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System

Complexity ◽

10.1155/2020/1312824 ◽

2020 ◽

Vol 2020 ◽

pp. 1-26

Author(s):

Yingying Duan ◽

Haina Rong ◽

Dunwu Qi ◽

Luis Valencia-Cabrera ◽

Gexiang Zhang ◽

...

Keyword(s):

Giant Panda ◽

Membrane Computing ◽

Model Performance ◽

Reproductive Rate ◽

P Systems ◽

Ecosystem Modelling ◽

Biological Phenomena ◽

The Rich ◽

Computing Models

Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. These models, providing distributed parallel devices, have shown a great potential to imitate the rich features observed in the behaviour of species and their interactions and key elements to understand and model ecosystems. Compared with differential equations, membrane computing models, also known as P systems, can model more complex biological phenomena due to their modularity and their ability to enclose the evolution of different environments and simulate, in parallel, different interrelated processes. In this paper, a comprehensive survey of membrane computing models for ecosystems is given, taking a giant panda ecosystem as an example to assess the model performance. This work aims at modelling a number of species using P systems with different membrane structure types to predict the number of individuals depending on parameters such as reproductive rate, mortality rate, and involving processes as rescue or release. Firstly, the computing models are introduced conceptually, describing the main elements constituting the syntax of these systems and explaining the semantics of the rules involved. Next, various modelled species (including endangered animals, plants, and bacteria) are summarized, and some computer tools are presented. Then, a discussion follows on the use of P systems for ecosystem modelling. Finally, a case study on giant pandas in Chengdu Base is analysed, concluding that the study in this field by using PDP systems can provide a valuable tool to deepen into the knowledge about the evolution of the population. This could ultimately help in the decision-making processes of the managers of the ecosystem to increase the species diversity and modify the adaptability. Besides, the impacts of natural disasters on the population dynamics of the species should also be considered. The analysis performed throughout the paper has taken into consideration this fact in order to increase the reliability of the prospects making use of the models designed.

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The Genesis and Internal Dynamics of El Salvador's People's Revolutionary Army, 1970–1976

Behavioral and Brain Sciences ◽

10.1017/s0140525x13009850 ◽

2014 ◽

Vol 38 (01) ◽

pp. 102-129

Author(s):

ALBERTO MARTÍN ÁLVAREZ ◽

EUDALD CORTINA ORERO

Keyword(s):

Latin America ◽

El Salvador ◽

Early Years ◽

Left Wing ◽

Internal Dynamics ◽

Internal Coherence ◽

The 1960S

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.

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Culture and the plasticity of perception

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002887 ◽

2020 ◽

Vol 43 ◽

Author(s):

Michael Lifshitz ◽

T. M. Luhrmann

Keyword(s):

Cultural Context ◽

Sensory Experience ◽

Cultural Learning ◽

The World

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.

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Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

Behavioral and Brain Sciences ◽

10.1017/s0140525x19000451 ◽

2019 ◽

Vol 42 ◽

Author(s):

Daniel J. Povinelli ◽

Gabrielle C. Glorioso ◽

Shannon L. Kuznar ◽

Mateja Pavlic

Keyword(s):

Temporal Reasoning ◽

Higher Order ◽

Important Case ◽

Human Cognition ◽

Relational Reasoning ◽

Dual Systems ◽

First Order ◽

Reasoning System ◽

Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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