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Glossario IA

Il dizionario completo dell'Intelligenza Artificiale

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categorie
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sottocategorie
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termini
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Tipping Point

Critical threshold beyond which a complex system undergoes an abrupt transition to a qualitatively different state. This phenomenon results from the gradual accumulation of small changes until a systemic breaking point.

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Cellular Automata Networks

Discrete computational models where simple cells follow local rules to generate complex global behaviors. They allow the study of pattern and structure emergence from elementary interactions.

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Multi-agent Systems

Sets of autonomous entities interacting according to simple protocols to produce intelligent collective behaviors. Intelligence emerges from local interactions without hierarchical centralized control.

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Strong vs Weak Emergence

Distinction between weak emergence (properties predictable by reduction) and strong emergence (radically new non-deducible properties). This differentiation is crucial for understanding the nature of emergent phenomena.

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Phase Transitions

Abrupt qualitative changes in the state of a complex system when a control parameter crosses a critical value. These transitions illustrate how order can emerge from disorder through collective mechanisms.

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Dissipative Structures

Ordered organizations maintained by a continuous flow of energy and matter far from thermodynamic equilibrium. Theorized by Prigogine, they represent a fundamental paradigm of emergence in open systems.

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Fractals and Self-similarity

Geometric property where patterns repeat at different scales in a complex system. Fractal self-similarity characterizes many emergent structures in nature and artificial systems.

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Catastrophe Theory

Mathematical framework studying discontinuities in dynamic systems where continuous changes cause abrupt jumps. It models abrupt transitions and qualitative changes in complex systems.

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Dynamique Non-linéaire

Comportement de systèmes où la sortie n'est pas proportionnelle à l'entrée, menant à des phénomènes comme le chaos et l'émergence. La non-linéarité est essentielle à la génération de complexité à partir de règles simples.

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Émergence Computationnelle

Apparition de capacités computationnelles complexes à partir d'éléments simples interagissant localement. Ce concept explique comment l'intelligence collective émerge dans les systèmes distribués sans architecture centralisée.

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Synergie Émergente

Phénomène où la coopération entre composants génère des effets supérieurs à la somme des contributions individuelles. Cette propriété émergente est fondamentale dans les réseaux neuronaux et les essaims intelligents.

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