Sequential, Parallel & Multi-agent Models

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algorithm]] is a computational approach that enables the concurrent execution of s, as opposed to the approach where operations are carried out one after another. By utilizing multiple or , parallel algorithms can significantly enhance performance and efficiency in a wide range of applications. and systems particularly benefit from parallelism, as they can execute multiple tasks , leading to quicker and more accurate results. With parallel algorithms, tasks can be executed in parallel, enabling each agent to independently process information and make autonomous decisions. This parallel processing also allows the agents to operate in a distributed manner, with each agent having its own set of tasks to execute, ensuring smooth and efficient coordination among agents. In summary, the parallel approach offers a powerful means to enhance performance and coordination in multi-agent models, enabling simultaneous execution of tasks by autonomous agents.

Keywords

autonomous | multi-agent | threads | task | sequential | models | simultaneously | processors | [[parallel |