Aug 2026· TH Wildau Engineering and Natural Sciences Proceedings· 0 citations· 7 references
TL;DR
This paper examines the phase transition from deterministic algorithmic execution (DevOps) to probabilistic socio-technical orchestration (AgentOps) and synthesizes evolutionary biology and Hellenistic philosophy to reframe human-agent teaming as the integration of a synthetic symbiote.
Abstract
We persist in the delusion that artificial intelligence is merely a sophisticated tool. This is a category error. A tool waits for kinetic energy; an autonomous agent perceives, plans, and acts. The advent of agentic AI proves we are not engineering independent digital workers but structurally embedding ourselves in a higher-order cognitive loop. This paper examines the phase transition from deterministic algorithmic execution (DevOps) to probabilistic socio-technical orchestration (AgentOps). By stripping value creation down to its thermodynamic first principles, we demonstrate that economic advantage no longer resides in process execution. Instead, as we build systems that reason the mechanics of the world, humans are elevated to a harder task: reasoning the beauty, meaning, and axiological value of the world. We synthesize evolutionary biology (Computational Symbiogenesis) and Hellenistic philosophy (Virtue Epistemology) to reframe human-agent teaming as the integration of a synthetic symbiote. Furthermore, we address the steel-manned counterargument of "Epistemic Deskilling" by detailing a taxonomy of "Friction-by-Design." To operationalize this resilience, we deeply expand the mathematical framework for calculating Epistemic Calibration by integrating Bayesian Signal Detection Theory. Finally, we expose the hidden second-order effect: the hyper-commoditization of executive function, which paradoxically makes human liability the scarcest asset in the modern economy.
An interdisciplinary perspective is adopted to examine the paradigm of agentic AI, tracing its evolution from earlier forms of automation and outlining its defining characteristics, architectures and application domains, and addressing the ethical, legal and governance challenges raised by autonomous agents.
Valerio Cencig, Mario D’Almo· Journal of Emerging Perspect...· 0 citations
Papers that address the orchestration of teams by synthesizing their workflows into a coherent whole, whether these teams are composed of human, machine, Generative AI (gen-AI), robot or AI-Agentic members are proposed.
W. Lawless, Marco Brambilla, Stephen Russell· AHFE International· 0 citations
By analysing scenarios such as cybersecurity and healthcare, this paper identifies dimensions of user demand and identifies Ecological Interface Design as an ergonomic approach to ensure that as AI gains agency, the human retains authority and situational awareness.
M. Simões-Marques· AHFE International· 0 citations
By foregrounding decision intelligence in complex systems, Enactive AI expands the frontier of AI from model capability to system-aware action, opening new possibilities for scalable, governable, and socially valuable AI deployment.
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This review specifically addresses the mathematical foundations of autonomous reasoning through Bayesian probabilistic updating, constructs structural models of multi-agent collaborative topologies, evaluates the operational efficacy of specialized cybersecurity frameworks, and thoroughly examines the profound socio-te...
Arunanshu Chatterjee, A. Roy· Interdisciplinary Journal of...· 0 citations
A five-dimensional diagnostic framework that maps the challenges of human-AI collaboration across Integration, Representation, Scale, Temporality, and Adequacy gaps and shows that augmentation remains the dominant and most viable mode of use in complex environments.
Ganesh Sankaran, Marco A. Palomino, G. Siestrup· Big Data and Cognitive Compu...· 0 citations
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