Abstract
This paper has the goal to describe the introduction of an AGI (Artificial General Intelligence) in a human organization. An organization may be composed of project leaders (vertical communication), human and non-human operations, an AGI machine that manages horizontal communication and big data. This leads to the paradigm of the Organizational Great Machine (GM) in which humans benefit from upgrade or empowerment provided by an all-encompassing artificial intelligence. An AGI has a substrate that uses Multi Agent System (MAS) where the model of an agent is defined as a belief, desire, intention (BDI) model of an agent augmented with Situations and Action (SBDIA). This provides a way of explaining future-directed intention. SBDIA has a natural model consistent with human psychology. Once artificial intelligence is introduced into the organization, we have to design new Human-Machine Integration (HMI) tools to have a successful relationship with human resources. At the end the organizational model of the MAS, called Great machine (GM), is used to provide information and transparency about the behavior of an AGI. A GM's internal model is considered as a knowledge market where knowledge flows among agents. Leontief's economic model emulates this market by providing information on how knowledge flows and how it is used. This permits more transparency and an understanding of internal processes.
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Rago, F. (2022). A New Matrix Model for Human-AI Integration. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. FTC 2021. Lecture Notes in Networks and Systems, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-89906-6_9
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