Framework of Experimental Design and Data Mining in Multi-agent Simulation

Multi-agent based simulation (MABS) is an important approach for studying complex systems. The Agent-based model often contains many parameters, these parameters are usually not independent, with differences in their range, and may be subjected to constraints. How to use MABS investigating complex systems effectively is still a challenge. The common tasks of MABS include: summarizing the macroscopic patterns of the system, identifying key factors, establishing a meta-model, and optimization. We proposed a framework of experimental design and data mining for MABS. In the framework, method of experimental design is used to generate experiment points in the parameter space, then generate simulation data, and finally using data mining techniques to analyze data. With this framework, we could explore and analyze complex system iteratively. Using central composite discrepancy (CCD) as measure of uniformity, we designed an algorithm of experimental design in which parameters could meet any constraints. We discussed the relationship between tasks of complex system simulation and data mining, such as using cluster analysis to classify the macro patterns of the system, and using CART, PCA, ICA and other dimensionality reduction methods to identify key factors, using linear regression, stepwise regression, SVM, neural network, etc. to build the meta-model of the system. This framework integrates MABS with experimental design and data mining to provide a reference for complex system exploration and analysis.

Sculptural rhymes of Art Nouveau: on the visual poetics of symbolism

This article is first within the Russian and Western art history to examine the concept of visual poetics as a separate subject of research. Based on the analysis of iconographic and theoretical searches of the masters of symbolism, which found reflection within the boundaries of expressive means of visual art, the author comes concludes on the poetic principles of symbolist artists as the fundamental sources of the formation of the style of Art Nouveau – a new sculptural language of the XIX – early XX centuries. Detail characteristic of the philosophical-aesthetic content that underlies optical forms of the visual symbolist image, in its scientific origins leans on the capabilities of the art comparative-formal analysis, as well as iconological method adapted to the period under review. The innovative conceptual approach towards studying the art of symbolism lies in the fact that poetry as the concept is depicted beyond the literary sphere, as a specific type of artistic worldview that influenced the development of the visual language of art in the era of Art Nouveau. At the same time, visual poetics is compared to the complex system of internal images, which shape in with the works of the master throughout the entire path of his self-expression, and are directly related to profoundness of the poetic principle of the soul, lyrical and metaphorical intuition of the artist. This approach allows us broadening the representation on the aesthetic benchmarks of the symbolist artists, as well as designating the new methodological coordinates in the field of studying the art of symbolism in both national and international contexts.

Cognition Without Neural Representation: Dynamics of a Complex System

This paper proposes an account of neurocognitive activity without leveraging the notion of neural representation. Neural representation is a concept that results from assuming that the properties of the models used in computational cognitive neuroscience (e.g., information, representation, etc.) must literally exist the system being modelled (e.g., the brain). Computational models are important tools to test a theory about how the collected data (e.g., behavioural or neuroimaging) has been generated. While the usefulness of computational models is unquestionable, it does not follow that neurocognitive activity should literally entail the properties construed in the model (e.g., information, representation). While this is an assumption present in computationalist accounts, it is not held across the board in neuroscience. In the last section, the paper offers a dynamical account of neurocognitive activity with Dynamical Causal Modelling (DCM) that combines dynamical systems theory (DST) mathematical formalisms with the theoretical contextualisation provided by Embodied and Enactive Cognitive Science (EECS).

Nanoarchitectured air-stable supported lipid bilayer incorporating sucrose–bicelle complex system

Cell-membrane-mimicking supported lipid bilayers (SLBs) provide an ultrathin, self-assembled layer that forms on solid supports and can exhibit antifouling, signaling, and transport properties among various possible functions. While recent material innovations have increased the number of practically useful SLB fabrication methods, typical SLB platforms only work in aqueous environments and are prone to fluidity loss and lipid-bilayer collapse upon air exposure, which limits industrial applicability. To address this issue, herein, we developed sucrose–bicelle complex system to fabricate air-stable SLBs that were laterally mobile upon rehydration. SLBs were fabricated from bicelles in the presence of up to 40 wt% sucrose, which was verified by quartz crystal microbalance-dissipation (QCM-D) and fluorescence recovery after photobleaching (FRAP) experiments. The sucrose fraction in the system was an important factor; while 40 wt% sucrose induced lipid aggregation and defects on SLBs after the dehydration–rehydration process, 20 wt% sucrose yielded SLBs that exhibited fully recovered lateral mobility after these processes. Taken together, these findings demonstrate that sucrose–bicelle complex system can facilitate one-step fabrication of air-stable SLBs that can be useful for a wide range of biointerfacial science applications.

Software tool for evaluation of reliability and survivability of complex technical system based on logical-probabilistic methodology

The paper presents solutions for estimation and analysis of complex system (CS) reliability and survivability indicators based on the logical-probabilistic approach. Modified logical-probabilistic method and software tool for evaluating the reliability and survivability of onboard equipment (OE) of small satellites were developed (SS). The correctness of the suggested method and software tool was shown by computational experiments on some systems of CS SS similar to Belarusian SS, and later compared with the “Arbitr” software complex results.

Study on Quasi-Period and Chaos Synchronizations of a Laser Local Area Network by Shifting the Currents of One Chain Node Lasers

Quasi-period and chaos synchronizations of a laser local area network (LAN) are discussed deep by shifting or controlling the current parameters of one chain node lasers of the LAN. The two coupling-lasers as network’s double-driver nodes and other two laser as network’s receiver node lasers perform two chains of laser LAN. Multi-dynamics states and their synchronizations, such as quasi-period, chaos and their synchronizations, are guided to show in the LAN by varying the current parameters of one chain node lasers. We find that multi-dynamics state synchronizations, such double-period, period-3, period-4, period-5, other quasi-period and chaos synchronizations, are guided to present at two chains of the LAN. This LAN and its obtained results have import reference values for complex system, network, artificial intelligence, chaos synchronization.

Are Family Businesses a Good Environment for Project Management?

Relationships between project management, operations management, and organizational strategy are well-known, as well as organizational influences on project. Family businesses work on projects, but their unique nature makes family firms a challenging context for Project Management. This chapter aims to present and discuss the specific dynamics of family business that can impact project management practices. By definition, a project is a complex system, consisting of a set of dozens of interrelated sub-processes. As is known, the percentage of projects that satisfy both technical requirements, budget compliance and which meet the deadlines, is extremely low. This fact forces the researchers to equip themselves with more sophisticated tools to face the complexity of a project, in order to increase its chances of success.

Optimal recycling price strategy of clothing enterprises based on closed-loop supply chain

<p style='text-indent:20px;'>More and more garment enterprises begin to pay attention to the importance of recycling, take the corresponding recycling strategy to recycle garment products and remanufacture, forming a closed-loop supply chain (CLSC). In reality, recycling is a complex system, the recycling strategy of clothing brands will not only affect the reverse channel of closed-loop supply chain, but also affect the consumer demand of forward channel, and then affect the profit of supply chain. In order to solve this problem, we propose a CLSC composed of a manufacturer, a retailer and a collector, establish three different Stackelberg leadership models, and derive the optimal recycling strategy. Our results show that consumers' sensitivity to the recycling price will affect the optimal decision of supply chain members. The increase of the recycling market is not always beneficial to the profits of supply chain members. By comparing the profits of the three models, it is found that the retailer leadership model is the most effective scenario of CLCS. The results of this paper provide a reference for garment enterprises to formulate recycling strategies.</p>