scholarly journals Adaptive Information Sharing with Ontological Relevance Computation for Decentralized Self-Organization Systems

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 342
Author(s):  
Wei Liu ◽  
Weizhi Ran ◽  
Sulemana Nantogma ◽  
Yang Xu
Keyword(s):  
Information Sharing ◽  
Local Knowledge ◽  
Environmental Changes ◽  
Relevant Information ◽  
Self Organization ◽  
External Control ◽  
Individual Member ◽  
Information Sharing Mechanism ◽  
Independent Decision ◽  
Self Organizing

Decentralization is a peculiar characteristic of self-organizing systems such as swarm intelligence systems, which function as complex collective responsive systems without central control and operates based on contextual local coordination among relatively simple individual systems. The decentralized particularity of self-organizing systems lies in their capacity to spontaneously respond to accommodate environmental changes in a cooperative manner without external control. However, if members cannot obtain observations of the state of the whole team and environment, they have to share their knowledge and policies with each other through communication in order to adapt to the environment appropriately. In this paper, we propose an information sharing mechanism as an independent decision phase to improve individual members’ joint adaption to the world to fulfill an optimal self-organization in general. We design the information sharing decision analogous to human information sharing mechanisms. In this case, information can be shared among individual members by evaluating the semantic relationship of information based on ontology graph and their local knowledge. That is, if individual member collects more relevant information, the information will be used to update its local knowledge and improve sharing relevant information by measuring the ontological relevance. This will enable more related information to be acquired so that their models will be reinforced for more precise information sharing. Our simulations and experimental results show that this design can share information efficiently to achieve optimal adaptive self-organizing systems.

Self-organization

2018 ◽  
Author(s):  
Stuart P. Wilson
Keyword(s):  
Large Deviation ◽  
Natural World ◽  
Self Organization ◽  
Global Order ◽  
Deterministic Systems ◽  
Working Definition ◽  
Complex Forms ◽  
Robust To Noise ◽  
Organizing Principles ◽  
Self Organizing

Self-organization describes a dynamic in a system whereby local interactions between individuals collectively yield global order, i.e. spatial patterns unobservable in their entirety to the individuals. By this working definition, self-organization is intimately related to chaos, i.e. global order in the dynamics of deterministic systems that are locally unpredictable. A useful distinction is that a small perturbation to a chaotic system causes a large deviation in its trajectory, i.e. the butterfly effect, whereas self-organizing patterns are robust to noise and perturbation. For many, self-organization is as important to the understanding of biological processes as natural selection. For some, self-organization explains where the complex forms that compete for survival in the natural world originate from. This chapter outlines some fundamental ideas from the study of simulated self-organizing systems, before suggesting how self-organizing principles could be applied through biohybrid societies to establish new theories of living systems.

scholarly journals Self-organization of nanoparticles and molecules in periodic Liesegang-type structures

2021 ◽  
Vol 7 (16) ◽  
pp. eabe3801
Author(s):  
Amanda J. Ackroyd ◽  
Gábor Holló ◽  
Haridas Mundoor ◽  
Honghu Zhang ◽  
Oleg Gang ◽  
...  
Keyword(s):  
Constant Velocity ◽  
Periodic Structures ◽  
Reaction Diffusion ◽  
Self Organization ◽  
Reaction Diffusion Systems ◽  
Structural Hierarchy ◽  
Preparation Conditions ◽  
Diffusion Systems ◽  
Film Preparation ◽  
Self Organizing

Chemical organization in reaction-diffusion systems offers a strategy for the generation of materials with ordered morphologies and structural hierarchy. Periodic structures are formed by either molecules or nanoparticles. On the premise of new directing factors and materials, an emerging frontier is the design of systems in which the precipitation partners are nanoparticles and molecules. We show that solvent evaporation from a suspension of cellulose nanocrystals (CNCs) and l-(+)-tartaric acid [l-(+)-TA] causes phase separation and precipitation, which, being coupled with a reaction/diffusion, results in rhythmic alternation of CNC-rich and l-(+)-TA–rich rings. The CNC-rich regions have a cholesteric structure, while the l-(+)-TA–rich bands are formed by radially aligned elongated bundles. The moving edge of the pattern propagates with a finite constant velocity, which enables control of periodicity by varying film preparation conditions. This work expands knowledge about self-organizing reaction-diffusion systems and offers a strategy for the design of self-organizing materials.

Extending the self-organization algorithm of chlorosomal bacteriochlorophylls to synthetic pigments

2007 ◽  
Vol 11 (04) ◽  
pp. 277-286 ◽  
Author(s):  
Mihaela Carmen Balaban ◽  
Teodor Silviu Balaban
Keyword(s):  
The Self ◽  
Self Organization ◽  
Nonpolar Solvents ◽  
Zinc Porphyrins ◽  
Cyano Groups ◽  
Synthetic Pigments ◽  
Self Organizing

Two new zinc porphyrins having two meso-undecyl solubilizing groups and two meso-formyl groups or two meso-cyano groups have been prepared in good yields and were shown by stationary absorption and fluorescence spectroscopies to self-organize in nonpolar solvents such as n-heptane. The diformyl and dicyano recognition groups can thus successfully replace the hydroxy and carbonyl recognition groups encountered in the natural self-organizing bacteriochlorophylls and which were, up to now, the only recognition groups used in synthetic or semisynthetic bacteriochlorophyll mimics.

Instrumental Means for Managing the Rational Behavior of Self-Organizing Autonomous Intelligent Agents

2021 ◽  
Vol 22 (4) ◽  
pp. 171-180
Author(s):  
V. B. Melekhin ◽  
M. V. Khachumov
Keyword(s):  
Intelligent Agents ◽  
Environmental Changes ◽  
A Priori ◽  
Operating Conditions ◽  
Basic Principles ◽  
Purposeful Behavior ◽  
Problem Solvers ◽  
Boundary Estimates ◽  
Self Learning ◽  
Self Organizing

We formulate the basic principles of constructing a sign-signal control for the expedient behavior of autonomous intelligent agents in a priori undescribed conditions of a problematic environment. We clarify the concept of a self-organizing autonomous intelligent agent as a system capable of automatic goal-setting when a certain type of conditional and unconditional signal — signs appears in a problem environment. The procedures for planning the expedient behavior of autonomous intelligent agents have been developed, that imitate trial actions under uncertainty in the process of studying the regularities of transforming situations in a problem environment, which allows avoiding environmental changes in the process of self-learning that are not related to the achievement of a given goal. Boundary estimates of the proposed procedures complexity for planning expedient behavior are determined, confirming the possibility of their effective implementation on the on-board computer of the automatic control system for the expedient activity of autonomous intelligent agents. We carry out an imitation on a personal computer of the proposed procedures for planning purposeful behavior, confirming the effectiveness of their use to build intelligent problem solvers for autonomous intelligent agents in order to endow them with the ability to adapt to a priori undescribed operating conditions. The main types of connections between various conditional and unconditional signal — signs of a problem environment are structured, which allows autonomous intelligent agents to adapt to complex a priori undescribed and unstable conditions of functioning.

Research on the Constructs of Small and Medium-Sized Enterprise Dynamic Alliance Information Platform Based on the ASP and Information Sharing

2012 ◽  
Vol 452-453 ◽  
pp. 474-480
Author(s):  
You Fa Wang ◽  
Ming Xing Li
Keyword(s):  
Information Sharing ◽  
Present Situation ◽  
Positive Contribution ◽  
Application Service Provider ◽  
Information Platform ◽  
Enterprise Informatization ◽  
Dynamic Alliance ◽  
Application Service ◽  
Effective Operation ◽  
Information Sharing Mechanism

The purpose of this paper was to solve the problem of constructing information platform for small and medium-sized enterprise dynamic alliance. According to the present situation of Chinese small and medium-sized enterprise informatization, the research on ASP(application service provider) model proposed to construct the small and medium-sized enterprise dynamic alliance information platform, expounded the advantages of ASP, proposed the small and medium-sized enterprise dynamic alliance information platform of information sharing mechanism. The formation of small and medium-sized enterprises of dynamic alliance effective operation had certain positive contribution. In this paper, the innovation of originality focuses on building small and medium-sized enterprise dynamic alliance information platform base on ASP model.

scholarly journals Forms of self-organization: Urban complexity and planning implications

2019 ◽  
Vol 47 (2) ◽  
pp. 220-234 ◽  
Author(s):  
Stefano Moroni ◽  
Ward Rauws ◽  
Stefano Cozzolino
Keyword(s):  
Theory And Practice ◽  
Planning Theory ◽  
Self Organization ◽  
Complex Issue ◽  
Planning Strategies ◽  
Self Organizing

The implications of self-organizing phenomena for planning strategies and interventions are a relatively new topic of research that is gaining increasing traction with urban planners and the emerging literature. The problem is that the concept of self-organization is at present applied in a variety of different ways in the contemporary planning debate, a fact that has generated misunderstandings, dubious definitions, and questionable practical suggestions. The aim of this article is to (1) unravel this complex issue by differentiating urban phenomena that are usually all labeled as self-organizing; (2) identify which of them is the most challenging for planning theory and practice, and (3) discuss how planning can productively relate to this form of self-organization.

scholarly journals Enabling decisions that make a difference: guidance for improving access to and analysis of invasive species information

2019 ◽  
Vol 22 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Rebekah D. Wallace ◽  
Charles T. Bargeron ◽  
Jamie K. Reaser
Keyword(s):  
Invasive Species ◽  
Information Systems ◽  
Information Sharing ◽  
Data Sharing ◽  
Relevant Information ◽  
Global Biodiversity Information Facility ◽  
Management Options ◽  
The North ◽  
Socio Economic Impact ◽  
Taxonomic Groups

AbstractThe issue of how to detect and rapidly respond to invasive species before it is economically infeasible to control them is one of urgency and importance at international, national, and subnational scales. Barriers to sharing invasive species data—whether in the form of policy, culture, technology, or operational logistics—need to be addressed and overcome at all levels. We propose guiding principles for following standards, formats, and protocols to improve information sharing among US invasive species information systems and conclude that existing invasive species information standards are adequate for the facilitation of data sharing among all sectors. Rather than creating a single information-sharing system, there is a need to promote interfaces among existing information systems that will enable them to become inter-operable, to foster simultaneous access, and to deliver any and all relevant information to a particular user or application in a seamless fashion. The actions we propose include implementing a national campaign to mobilize invasive species occurrence data into publicly available information systems; maintaining a current list of invasive species data integrators/clearinghouses; establishing an agreement for sharing data among the primary US invasive species information systems; enhancing the Integrated Taxonomic Information System to fully cover taxonomic groups not yet complete; further developing and hosting data standards for critical aspects of invasive species biology; supporting and maintaining the North American Invasive Species Management Association’s mapping standards; identifying standard metrics for capturing the environmental and socio-economic impact of invasive species, including impacts and management options; continuing to support US engagement in international invasive species data sharing platforms; and continuing US membership in the Global Biodiversity Information Facility.

ROBUSTNESS OF GUIDED SELF-ORGANIZATION AGAINST SENSORIMOTOR DISRUPTIONS

2013 ◽  
Vol 16 (02n03) ◽  
pp. 1350001 ◽  
Author(s):  
GEORG MARTIUS
Keyword(s):  
Fault Tolerance ◽  
Visual Target ◽  
The Self ◽  
Self Organization ◽  
Proof Of Concept ◽  
Practical Applications ◽  
Wheeled Robot ◽  
Continuous Domains ◽  
Sensor Configuration ◽  
Self Organizing

Self-organizing processes are crucial for the development of living beings. Practical applications in robots may benefit from the self-organization of behavior, e.g., to increase fault tolerance and enhance flexibility, provided that external goals can also be achieved. We present results on the guidance of self-organizing control by visual target stimuli and show a remarkable robustness to sensorimotor disruptions. In a proof of concept study an autonomous wheeled robot is learning an object finding and ball-pushing task from scratch within a few minutes in continuous domains. The robustness is demonstrated by the rapid recovery of the performance after severe changes of the sensor configuration.

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