Scalable Distributed Organizational Structure and Self-Organization Mechanisms for Unmanned System Cluster

This article focuses on the study of territorial self-government as one of the most relevant forms of the local community functioning. A special scientific interest in it is due to its exceptional ability for self-organization, which makes it possible to realize the potential of citizens in solving local issues. The authors present an analysis of two main trends in the formation of the TSG system and structure - administrative and initiative - and their organizational potential. The study of the organizational structure of territorial self-government and the forms of its implementation reveals a number of specific features of TSG. Particular attention in the article is paid to the analysis of the TSG of the Far Eastern Federal District, the problems of the functioning of this form of self-organization and the prospects for development

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Goals as Emergent Autopoietic Processes

Frontiers in Bioengineering and Biotechnology ◽

10.3389/fbioe.2021.720652 ◽

2021 ◽

Vol 9 ◽

Author(s):

Tomas Veloz

Keyword(s):

Organizational Structure ◽

Recent Work ◽

Organization Theory ◽

Reaction Network ◽

Self Organization ◽

Reaction Networks ◽

Modeling Framework ◽

Emergence Of Life

While the phenomena of reaching a goal is generally represented in the framework of optimization, the phenomena of becoming of a goal is more similar to a “self-organization and emergent” rather than an “optimization and preexisting” process. In this article we provide a modeling framework for the former alternative by representing goals as emergent autopoietic structures. In order to conceptually situate our approach, we first review some of the most remarkable attempts to formally define emergence, and identify that in most cases such definitions rely on a preexisting system to be observed prior and post emergence, being thus inadequate for a formalization of emergent goals corresponding to the becoming of a systems as such (e.g. emergence of life). Next, we review how an implementation of the reaction networks framework, known as Chemical Organization Theory (COT), can be applied to formalize autopoietic structures, providing a basis to operationalize goals as an emergent process. We next revisit the definitions of emergence under the light of our approach, and demonstrate that recent taxonomies developed to classify different forms of emergence can be naturally deduced from recent work aimed to explain the kinds of changes of the organizational structure of a reaction network.

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Emergentist View on Generative Narrative Cognition: Considering Principles of the Self-Organization of Mental Stories

Advances in Human-Computer Interaction ◽

10.1155/2018/6780564 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Taisuke Akimoto

Keyword(s):

Artificial Intelligence ◽

Computational Modeling ◽

Organizational Structure ◽

Internal Structure ◽

Multiagent System ◽

The Self ◽

Self Organization ◽

Human Intelligence ◽

Conceptual Level ◽

Living Objects

We consider the essence of human intelligence to be the ability to mentally (internally) construct a world in the form of stories through interactions with external environments. Understanding the principles of this mechanism is vital for realizing a human-like and autonomous artificial intelligence, but there are extremely complex problems involved. From this perspective, we propose a conceptual-level theory for the computational modeling of generative narrative cognition. Our basic idea can be described as follows: stories are representational elements forming an agent’s mental world and are also living objects that have the power of self-organization. In this study, we develop this idea by discussing the complexities of the internal structure of a story and the organizational structure of a mental world. In particular, we classify the principles of the self-organization of a mental world into five types of generative actions, i.e., connective, hierarchical, contextual, gathering, and adaptive. An integrative cognition is explained with these generative actions in the form of a distributed multiagent system of stories.

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