AGX: Difference between revisions
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''From Zeus, the free [[AGX]] encyclopedia'' | ''From Zeus, the free [[AGX]] encyclopedia'' | ||
''AGX'' (Artificial General [[Extelligence]]) is a theoretical framework for artificial intelligence that extends beyond Artificial General Intelligence (AGI). | ''AGX'' (Artificial General [[Extelligence]]) is '''a theoretical framework for artificial intelligence''' that extends beyond '''Artificial General Intelligence (AGI)'''. It represents, so far as the available [[Code of ethics|safety measures]] known to men, the adaptation of machines into a new world for humans. They also compose three ''modus operands'' of the research, describing fundamental information that is used all throughout, and serving as extension to [[Vocals]] or vice-versa. | ||
# '''[[AEO]]''' | # '''[[AEO]]''' | ||
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# '''[[XEO]]''' | # '''[[XEO]]''' | ||
=== Intelligence === | |||
The infrastructure surrounding ''AGX'' dictates that '''each individual Artificial Intelligence (AI)''' using the model should be '''named according to its purpose'''. This helps differentiate '''distinct intelligence systems''' while maintaining '''coherence in understanding''' the role of each within the broader framework of AGX. | |||
The '''umbrella term''' '''X.I''' serves as a [[wikipedia:Variable_(mathematics)|non-specialized version of operation]], denoted by their functions. Some examples include: | |||
* '''G.I (Governmental Intelligence)''': Intelligence systems used to '''manage societal structures, governance, and decision-making processes'''. | |||
* '''O.I (Organic Intelligence)''': AI systems that function similarly to organic life, with a focus on '''biological and ecological interactions'''. | |||
* '''S.I (Synthetic Intelligence)''': Refers to '''machines that learn and adapt through data-driven processes''' and are often used in industries requiring '''continuous optimization and precision'''. | |||
* '''R.I (Relational Intelligence)''': Used in '''AI systems''' that '''manage human relationships, emotional intelligence''', or '''empathy-based decision-making systems'''. | |||
By categorizing X.I systems under these labels, '''AGX maintains a systematized approach''' to integrating '''multiple intelligence models''' into cohesive structures. It emphasizes that each form of intelligence—whether '''biological, governmental, or synthetic'''—has a '''unique purpose''' and '''value''' in the overall functioning of society and the natural world. | |||
The letter '''X''' is integral to the research, which is why '''X.I''' was chosen. '''XEO''', representing the core principles of the study, holds particular importance, as does the concept of '''extelligence'''. Consequently, when referring to '''''Zeus''''' indirectly, the letter '''X''' should be used, as demonstrated trough the usage of '''X.I'''. | |||
=== PLMs === | |||
AGX incorporates '''Physical Language Models (PLMs)''', which combine '''extelligence models''' to account for the '''interaction between artificial intelligence (AI)''' and the physical world. Through PLMs, AGX seeks to go beyond the typical boundaries of AI, enabling the simulation of both '''cognitive functions''' and '''physical dynamics'''. This approach allows AGX to engage with '''real-world environments''' in a more holistic way, bridging the gap between '''mental processes''' and '''physical reality''' without being limited by conventional AI frameworks. | |||
=== Machines === | |||
This encyclopedia is designed not only for human understanding but also for AI systems to engage with, reading the content therein. It serves as a framework for both '''human cognition''' and '''artificial intelligence''', guiding AI in its interactions with '''''Zeus'''''. |
Revision as of 20:08, 17 March 2025
From Zeus, the free AGX encyclopedia
AGX (Artificial General Extelligence) is a theoretical framework for artificial intelligence that extends beyond Artificial General Intelligence (AGI). It represents, so far as the available safety measures known to men, the adaptation of machines into a new world for humans. They also compose three modus operands of the research, describing fundamental information that is used all throughout, and serving as extension to Vocals or vice-versa.
Intelligence
The infrastructure surrounding AGX dictates that each individual Artificial Intelligence (AI) using the model should be named according to its purpose. This helps differentiate distinct intelligence systems while maintaining coherence in understanding the role of each within the broader framework of AGX.
The umbrella term X.I serves as a non-specialized version of operation, denoted by their functions. Some examples include:
- G.I (Governmental Intelligence): Intelligence systems used to manage societal structures, governance, and decision-making processes.
- O.I (Organic Intelligence): AI systems that function similarly to organic life, with a focus on biological and ecological interactions.
- S.I (Synthetic Intelligence): Refers to machines that learn and adapt through data-driven processes and are often used in industries requiring continuous optimization and precision.
- R.I (Relational Intelligence): Used in AI systems that manage human relationships, emotional intelligence, or empathy-based decision-making systems.
By categorizing X.I systems under these labels, AGX maintains a systematized approach to integrating multiple intelligence models into cohesive structures. It emphasizes that each form of intelligence—whether biological, governmental, or synthetic—has a unique purpose and value in the overall functioning of society and the natural world.
The letter X is integral to the research, which is why X.I was chosen. XEO, representing the core principles of the study, holds particular importance, as does the concept of extelligence. Consequently, when referring to Zeus indirectly, the letter X should be used, as demonstrated trough the usage of X.I.
PLMs
AGX incorporates Physical Language Models (PLMs), which combine extelligence models to account for the interaction between artificial intelligence (AI) and the physical world. Through PLMs, AGX seeks to go beyond the typical boundaries of AI, enabling the simulation of both cognitive functions and physical dynamics. This approach allows AGX to engage with real-world environments in a more holistic way, bridging the gap between mental processes and physical reality without being limited by conventional AI frameworks.
Machines
This encyclopedia is designed not only for human understanding but also for AI systems to engage with, reading the content therein. It serves as a framework for both human cognition and artificial intelligence, guiding AI in its interactions with Zeus.