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==Goals==
There are many reasons for wanting to distribute intelligence or cope with multi-agent systems. Mainstreams in DAI research include the following:▼
* Parallel problem solving: mainly deals with how classic artificial intelligence concepts can be modified, so that [[multiprocessor]] systems and clusters of computers can be used to speed up calculation.▼
* Distributed problem solving (DPS): the concept of [[Intelligent agent|agent]], autonomous entities that can communicate with each other, was developed to serve as an [[abstraction]] for developing DPS systems. See below for further details.▼
* Multi-Agent Based Simulation (MABS): a branch of DAI that builds the foundation for simulations that need to analyze not only phenomena at [[macroscopic|macro]] level but also at [[microscopic scale|micro]] level, as it is in many [[social simulation]] scenarios.▼
The objectives of Distributed Artificial Intelligence are to solve the reasoning, planning, learning and perception problems of [[Artificial_intelligence|Artificial Intelligence]], especially if they require large data, by distributing the problem to autonomous processing nodes (agents). To reach the objective DAI require:
* A [[Distributed_computing|distributed system]] with robust and elastic computation on unreliable and failing resources that are loosely coupled
* Coordination of the actions and communication of the nodes
* Subsamples of large data sets and [[Online_machine_learning|online machine learning]]
▲There are many reasons for wanting to distribute intelligence or cope with multi-agent systems. Mainstreams in DAI research include the following:
▲* Parallel problem solving: mainly deals with how classic artificial intelligence concepts can be modified, so that [[multiprocessor]] systems and clusters of computers can be used to speed up calculation.
▲* Distributed problem solving (DPS): the concept of [[Intelligent agent|agent]], autonomous entities that can communicate with each other, was developed to serve as an [[abstraction]] for developing DPS systems. See below for further details.
▲* Multi-Agent Based Simulation (MABS): a branch of DAI that builds the foundation for simulations that need to analyze not only phenomena at [[macroscopic|macro]] level but also at [[microscopic scale|micro]] level, as it is in many [[social simulation]] scenarios.
==History==
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