The architecture and a set of components of the software tool providing the development of agent-based simulation models (ABSMs) specifications are considered in the paper. The underlying of the proposed tool is the a...
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We propose a new lobster-inspired chemotaxis decentralized control strategy for monitoring a non-stationary concentration field using a team of nonholonomic mobile robots. The task of the team is to locate and trace t...
We propose a new lobster-inspired chemotaxis decentralized control strategy for monitoring a non-stationary concentration field using a team of nonholonomic mobile robots. The task of the team is to locate and trace the movement of the point (or points) with the highest field value (i.e. source), provided that the robots are not aware of the dynamics of the field and can only periodically sample the field at their locations. As an example of the concentration field we consider a population of biological species modeled by a self-organizing multi-agent system with agents acting as individuals of the population in accordance with some flocking rules. The proposed strategy combines the lobsters' plume localization behavior and flocking mechanisms to efficiently solve the problem even with a small group of robots. Simulations and experimental works on physical unicycle robots are performed to validate the efectiveness of the approach for the cases of non-stationary fields.
The article discusses the application of the model-driven approach in the development of agent-based simulation models, presents an overview of agent architectures, considers the updated version of the hierarchical sy...
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The efficiency of the intelligent systems engineering on the basis of conceptual models can be improved through the use of specialized languages. The paper describes a domain-specific language designed for describing ...
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When constructing a digital terrain model from the available vector data, iso-lines (relief contour lines) are used as the main source of information. Also the maps may contain the point elevation marks. To obtain the...
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We study a class of optimal control problems for measure-driven differential equations with rate independent hysteresis. The hysteresis is modeled by an evolution variational inequality equivalent to the action of pla...
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We study the non-Abelian SU(2)D extension of the U(1)D Stueckelberg portal, which plays the role of mediator between the Standard Model (SM) and dark sector. This portal is specified by the Stueckelberg mechanism for ...
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We study the non-Abelian SU(2)D extension of the U(1)D Stueckelberg portal, which plays the role of mediator between the Standard Model (SM) and dark sector. This portal is specified by the Stueckelberg mechanism for generation of dark gauge boson masses. The proposed U(1)D⊗SU(2)D Stueckelberg portal has a connection with SM matter fields, in analogy with the familon model. We derive bounds on the couplings of dark portal bosons and SM particles, which govern diagonal and nondiagonal flavor transitions of quarks and leptons.
Execution of large-scale search and survey operations by groups of autonomous mobile robots requires the ability to respond to unforeseen events of different nature in a quick and efficient manner. In order to achieve...
Execution of large-scale search and survey operations by groups of autonomous mobile robots requires the ability to respond to unforeseen events of different nature in a quick and efficient manner. In order to achieve this requirement, the available information about recent changes should be spread among all active group members as soon as possible. Informing a non-stationary group of mobile robots distributed across different regions of the operational area is a nontrivial task for large groups with limited communication capabilities. The paper addresses the problem of agent-based information distribution throughout a network in a new original formulation. In essence, the problem is to define an effective order of transferring data between single robots in order to achieve the fastest way of sharing it among the whole group. A number of heuristic strategies are proposed for building initial solutions alongside with the local search scheme for their further optimization. The comparison between the suggested approaches is made regarding both the solution quality and the speed of algorithm operation. Some issues related to the test instances generation are also considered.
The efficiency of decision-making, especially when using multi-method schemes, can be improved by using artificial intelligence methods, in particular, the case-based reasoning approach. The paper presents the applica...
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