What Does Distributed Artificial Intelligence (DAI) Mean?
One of the many approaches to artificial intelligence is distributed artificial intelligence (DAI). It is used to for learning by means of complex learning methods, large-scale planning and decision making. It can use a wide range of computational resources in different areas. This means that it can easily process and analyze large amounts of data and resolve problems quickly.
Techopedia Explains Distributed Artificial Intelligence (DAI)
Distributed artificial intelligence uses a parallel system for computing. Many “nodes” or learning agents, independent of each other, are located at geographically diverse places. Parallel processing allows the system to use all computational resources to their fullest extent. Due to its immense processing power, huge data sets can be analyzed quickly, with each part being analyzed by a separate node. If a change is to be made in the data which is given to the system, the corresponding node is redeployed, and not the whole system.
