Which of the following best describes distributed artificial intelligence?
A.
It does not require hyperparemeter tuning because the distributed nature accounts for the bias.
B.
It intelligently pre-distributes the weight of starting a neural network.
C.
It relies on a distributed system that performs robust computations across a network of unreliable nodes.
D.
It uses a centralized system to speak to decentralized nodes.
The Answer Is:
C
This question includes an explanation.
Explanation:
Distributed artificial intelligence (DAI) is a subfield of artificial intelligence that studies how multiple intelligent agents can coordinate and cooperate to achieve a common goal or solve a complex problem. DAI relies on a distributed system that performs robust computations across a network of unreliable nodes, such as sensors, robots, or humans. DAI can handle large-scale, dynamic, and uncertain environments that are beyond the capabilities of a single agent. References: [Distributed artificial intelligence - Wikipedia], [Distributed Artificial Intelligence: An Overview]
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