Eco‐Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain Towards Digital Transition

The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

Go-green manufacturing holons: a step towards sustainable manufacturing operations control

Despite their potential benefits in the context of sustainable manufacturing operations, holonic and multi-agent architectures are still not designed methodologically to support this major societal and environmental stake. To fill the gap, the generic concept of go-green manufacturing holon is proposed. The idea is to incite researchers to develop sustainability-oriented manufacturing operations control architectures, being holonic or multi-agents, and to provide them with a usable generic concept easy to appropriate, particularize and implement. An illustration of the concept is proposed as well as its widening in the context of circular economy.Trentesaux, D.; Giret Boggino, AS. (2015). Go-green manufacturing holons: a step towards sustainable manufacturing operations control. Manufacturing letters. 5:29-33. doi:10.1016/j.mfglet.2015.07.003S2933

Organization of Multi-Agent Systems: An Overview

In complex, open, and heterogeneous environments, agents must be able to reorganize towards the most appropriate organizations to adapt unpredictable environment changes within Multi-Agent Systems (MAS). Types of reorganization can be seen from two different levels. The individual agents level (micro-level) in which an agent changes its behaviors and interactions with other agents to adapt its local environment. And the organizational level (macro-level) in which the whole system changes it structure by adding or removing agents. This chapter is dedicated to overview different aspects of what is called MAS Organization including its motivations, paradigms, models, and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page

Soft computing agents for e-health applied to the research and control of unknown diseases

This paper presents an Ontology-based Holonic Diagnostic System (OHDS) that combines the advantages of the holonic paradigm with multi-agent system technology and ontology design, for the organization of unstructured biomedical research into structured disease information. We use ontologies as 'brain' for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information fast. To integrate dispersed heterogeneous knowledge available on the web we use a fuzzy mechanism ruled by intelligent agents, which automatically structures the information in the adequate ontology template. Our vision of how this system implementation should be backed by a solid security shield that ensures the privacy and safety of medical information concludes the paper

Robustness Analysis of Holonic Multi-Agent Systems: Application to Traffic Signals Control

Multi-Agent Systems (MASs) provide a powerful tool to model distributed systems. Large-scale systems contain many autonomous agents, and therefore, the agents should be able to work in a group and collaborate toward common objectives. Holonic Multi-Agent Systems (HMASs) present a suitable organization, especially in large-scale systems. The idea behind HMASs is a division of a system into smaller sub-systems in a recurrent way. A holon is defined as a self-similar structure that comprises holons as sub-structures. Therefore, a holarchy is a hierarchy of holons that act as autonomous wholes in super-ordination to their parts and as dependent parts in sub-ordination to controls on higher levels. There are two main attributes for a holarchy, the first attribute ensures that holons are in stable forms, which are robust against disturbances. The second one confirms that the holons are in intermediate forms, which provide the proper functionality for the whole. In this paper, we study the robustness of a holarchy for traffic signals control. Robustness is an essential feature for providing reliable solutions, especially in real world applications. We show that holonic MAS can be effectively used for traffic signals control as a robust modeling method

Holarchical Innovation Teams: Terms & Definitions

This paper establishes the terms and definitions for the nascent discipline of Holarchical Innovation Teams (HITs). It provides a Review of Literature of those individuals who have contributed to our understanding of holarchies and who assist in creating an etymology for HITs in order to lay the foundations for subsequent papers on HITs philosophy and principles for future researchers and scholars of the disciplin

Cohesion and Complex System Structure

In the self-organizing complex dynamical systems that form holarchies, the decisions (or reactions) of their components (constituents) sometimes are crucial because they may involve the proper existence of the system. Additionally, in the real world, these components are immersed in highly complex environments of which have an incomplete or inadequate knowledge and they can’t be completely consistent about their preferences and their beliefs, can show a bounded rationality, etc. All these circumstances affect the way in which the components not only behave, but also emerge and disappear. In this work the necessary and sufficient conditions previously given for the holons formation are reviewed in the light of these facts using for the uncertainty/randomness handling the fuzzy probabilities theory (thus modeling the decision making process through the fuzzy decision making under risk theory), and, from these conditions, the concept of holon cohesion is derived and introduced as a generalization of the reliability of a system