Dynamic ecology in GNU octave

2020-11-23

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A macroscopic model for self-organized aggregation in swarm robotic systems
Soysal, Onur; Şahin, Erol (2006-10-01)
We study the self-organized aggregation of a swarm of robots in a closed arena. We assume that the perceptual range of the robots are smaller than the size of the arena and the robots do not have information on the size of the swarm or the arena. Using a probabilistic aggregation behavior model inspired from studies of social insects, we propose a macroscopic model for predicting the final distribution of aggregates in terms of the parameters of the aggregation behavior, the arena size and the sensing chara...
Modern mathematical methods in modeling and dynamics of regulatory systems of gene-environment networks
Defterli, Özlem; Kaya Merdan, Songül; Weber, Gerhard Wilhelm; Department of Mathematics (2011)
Inferring and anticipation of genetic networks based on experimental data and environmental measurements is a challenging research problem of mathematical modeling. In this thesis, we discuss gene-environment network models whose dynamics are represented by a class of time-continuous systems of ordinary differential equations containing unknown parameters to be optimized. Accordingly, time-discrete version of that model class is studied and improved by using different numerical methods. In this aspect, 3rd-...
Theory of impurity induced lattice distortions in the normal phase of charge density wave systems
Turgut, Sadi (1994-05-01)
A phenomenological Ginzburg-Laundau theory is applied to the normal phase of one-dimensional charge-density-wave systems with a finite concentration of impurities. It is found that the interaction between the impurities and the highly polarizable electron gas leads to a strong and oscillatory impurityimpurity interaction, which in turn leads to ordered impurity arrangements and to sizeable periodic lattice distortions. The effect is very strongly dependent on the charge of the impurities, their concentratio...
Modeling complex nonlinear responses of shallow lakes to fish and hydrology using artificial neural networks
Tan, Can Ozan; Beklioğlu, Meryem (Elsevier BV, 2006-07-10)
Mathematical abstractions may be useful in providing insight that is otherwise very difficult to obtain due to complex interactions in the ecosystems. The difficulty associated with the nonlinearity and complexity of ecological processes and interactions can be avoided with artificial neural networks (ANN) and generalized logistic models (GLMs) which are practically ANNs without hidden layer. An ANN and a GLM were developed to determine the probability of submerged plant occurrence in five shallow Anatolian...
A non-egological interpretation of Husserl's phenomenology
Yeğin, Arzu; Grünberg, David; Department of Philosophy (2008)
In this thesis, I defend a non-egologic pure consciousness which is the initial position of Husserl in the Logical Investigations. There is anti transcendental ego argumentations in which I claim that self alienation of the "transcendental ego", incomplete reduction, the presence of the pre-reflective transcendental ego are the reasons to leave the claim about the existence of the "transcendental ego". I also claim that the possible solution of the mind-body problem depends on the denial of the "transcenden...
Citation Formats
E. Akoğlu, Dynamic ecology in GNU octave. 2020, p. 161.