Imperfect Knowledge Management -- A Case Study in a Chilean Manufacturing Company

• URL: http://arxiv.org/abs/2502.01656v1
• Date: Fri, 31 Jan 2025 11:48:38 GMT
• Title: Imperfect Knowledge Management -- A Case Study in a Chilean Manufacturing Company
• Authors: Leoncio Jimenez,
• Abstract summary: Maturana and Varela (1969) at the University of Chile introduced the term autopoiesis (from Greek self and production) This thesis introduces the Fuzzy Autopoietic Knowledge Management (FAKM) model, which integrates the system theory of living systems, the cybernetic theory of viable systems, and the autopoiesis theory of autopoietic systems.
• Score: 0.0
• License:
• Abstract: To conceptualize living systems based on the processes that create them, rather than their interactions with the environment, as in systems theory. Maturana and Varela (1969) at the University of Chile introduced the term autopoiesis (from Greek self and production). This concept emphasizes autonomy as the defining feature of living systems. It describes them as self-sustaining entities that preserve their identity through continuous self-renewal to preserve their unity. Furthermore, these systems can only be understood in reference to themselves, as all internal activities are inherently self-determined by self-production and self-referentiality. This thesis introduces the Fuzzy Autopoietic Knowledge Management (FAKM) model, which integrates the system theory of living systems, the cybernetic theory of viable systems, and the autopoiesis theory of autopoietic systems. The goal is to move beyond traditional knowledge management models that rely on Cartesian dualism (cognition/action) where knowledge is treated as symbolic information processing. Instead, the FAKM model adopts a dualism of organization/structure to define an autopoietic system within a sociotechnical approach. The model is experimentally applied to a manufacturing company in the Maule Region, south of Santiago, Chile.

Related papers

• Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots [54.55088169443828]
  We introduce Cognitive Kernel, an open-source agent system towards the goal of generalist autopilots. Unlike copilot systems, which primarily rely on users to provide essential state information, autopilot systems must complete tasks independently. To achieve this, an autopilot system should be capable of understanding user intents, actively gathering necessary information from various real-world sources, and making wise decisions.
  arXiv  Detail & Related papers  (2024-09-16T13:39:05Z)
• Mechanical Self-replication [0.0]
  This study presents a theoretical model for a self-replicating mechanical system inspired by biological processes within living cells. The model decomposes self-replication into core components, each of which is executed by a single machine constructed from a set of basic block types.
  arXiv  Detail & Related papers  (2024-07-18T09:49:50Z)
• Building Artificial Intelligence with Creative Agency and Self-hood [0.0]
  This paper is an invited layperson summary for The Academic of the paper referenced on the last page. We summarize how the formal framework of autocatalytic networks offers a means of modeling the origins of self-organizing, self-sustaining structures.
  arXiv  Detail & Related papers  (2024-06-09T22:28:11Z)
• Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment [65.268245109828]
  We examine algorithms for conducting credit assignment in artificial neural networks that are inspired or motivated by neurobiology. We organize the ever-growing set of brain-inspired learning schemes into six general families and consider these in the context of backpropagation of errors. The results of this review are meant to encourage future developments in neuro-mimetic systems and their constituent learning processes.
  arXiv  Detail & Related papers  (2023-12-01T05:20:57Z)
• Incremental procedural and sensorimotor learning in cognitive humanoid robots [52.77024349608834]
  This work presents a cognitive agent that can learn procedures incrementally. We show the cognitive functions required in each substage and how adding new functions helps address tasks previously unsolved by the agent. Results show that this approach is capable of solving complex tasks incrementally.
  arXiv  Detail & Related papers  (2023-04-30T22:51:31Z)
• Kernel Based Cognitive Architecture for Autonomous Agents [91.3755431537592]
  This paper considers an evolutionary approach to creating a cognitive functionality. We consider a cognitive architecture which ensures the evolution of the agent on the basis of Symbol Emergence Problem solution.
  arXiv  Detail & Related papers  (2022-07-02T12:41:32Z)
• On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS) [87.3520234553785]
  Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences.
  arXiv  Detail & Related papers  (2021-02-11T05:44:25Z)
• An Artificial Consciousness Model and its relations with Philosophy of Mind [0.0]
  This work seeks to study the beneficial properties that an autonomous agent can obtain by implementing a cognitive architecture similar to the one of conscious beings. We show in a large experiment set how an autonomous agent can benefit from having a cognitive architecture such as the one described.
  arXiv  Detail & Related papers  (2020-11-30T00:24:17Z)
• Philosophy-Guided Modelling and Implementation of Adaptation and Control in Complex Systems [0.0]
  We add to our already existing method the cybernetic concepts of control and especially adaptation. We show how these new meta-theoretical concepts are described formally and how they are implemented in program code. We conclude that philosophical abstract concepts help to better understand the process of creating computer models and their control and adaptation.
  arXiv  Detail & Related papers  (2020-08-31T21:21:16Z)
• Distributed and Democratized Learning: Philosophy and Research Challenges [80.39805582015133]
  We propose a novel design philosophy called democratized learning (Dem-AI) Inspired by the societal groups of humans, the specialized groups of learning agents in the proposed Dem-AI system are self-organized in a hierarchical structure to collectively perform learning tasks more efficiently. We present a reference design as a guideline to realize future Dem-AI systems, inspired by various interdisciplinary fields.
  arXiv  Detail & Related papers  (2020-03-18T08:45:10Z)
• Perspectives and Ethics of the Autonomous Artificial Thinking Systems [0.0]
  Our model uses four hierarchies: the hierarchy of information systems, the cognitive hierarchy, the linguistic hierarchy and the digital informative hierarchy. The question of the capability of autonomous system to provide a form of artificial thought arises with the ethical consequences on the social life and the perspective of transhumanism.
  arXiv  Detail & Related papers  (2020-01-13T14:23:21Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.