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Glossario IA

Il dizionario completo dell'Intelligenza Artificiale

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Deep Neural Networks

Architecture of artificial neural networks with multiple hidden layers that enables learning of complex hierarchical data representations.

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Adaptive Complex Systems

Collections of interconnected agents whose emergent behavior results from local interactions and which dynamically adapt to their environment.

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Non-Linear Interactions

Relationships between system components where the output is not proportional to the input, creating unpredictable and emergent behaviors.

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Forward Propagation

Computation process in a neural network where information flows from the input layer to the output layer through synaptic weights.

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Non-Linear Activation Function

Mathematical function applied to each neuron to introduce non-linearity, allowing the network to learn complex relationships.

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Cascade Architecture

Neural network structure where layers are connected sequentially with skip connections to facilitate deep learning.

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Recursive Neural Networks

Networks applied to tree or graph data structures, recursively processing nodes to capture complex hierarchies.

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Chaotic Dynamic Systems

Systems whose temporal evolution exhibits extreme sensitivity to initial conditions, making their long-term behavior unpredictable.

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Multi-Scale Modeling

An approach consisting of representing a complex system at different temporal and spatial scales to capture its intrinsic dynamics.

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Attention Mechanisms

Technique allowing the network to selectively weigh different parts of the input to focus on the most relevant information.

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Memory Neural Networks

Architecture integrating external memory components to store and retrieve information, enabling reasoning over long sequences.

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Emergent Properties

Complex behaviors or characteristics that appear at the system level but are not present in its individual components.

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Information Theory in Networks

Application of information theory principles to analyze and optimize the flow of information in deep neural networks.

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System-Network Coupling

Bidirectional integration between a complex physical system and a neural network for real-time prediction and control.

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