Distributed Artificial Intelligence-as-a-Service (DAIaaS) for Smarter IoE and 6G Environments

Making Smart Cities Smarter - Using Artificial Intelligence Techniques for Smarter Mobility

The term Smart City is tipically applied to urban and metropolitan areas where Information and Communication Technologies provide ways to enable social, cultural and urban development, improving social and political capacities and/or efficiency. In this paper we will show the potential of Artificial Intelligence techniques for augmenting ICT solutions to both increase the cities competiveness b...

Distributed Artificial Intelligence for Distributed Corporate

We present a multi-agents architecture that was built and tested to manage a corporate memory based on the semantic Web technologies.

Distributed Artificial Intelligence

Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. The growth of this field has been spurred by the advances in distributed computing environments and wide spread information connectivity. Although DAI started as a branch of artificial intelligence over twenty-five years ago, it has emerged as an independent research disci...

A Distributed Snapshot Protocol for Efficient Artificial Intelligence Computation in Cloud Computing Environments

Many artificial intelligence applications often require a huge amount of computing resources. As a result, cloud computing adoption rates are increasing in the artificial intelligence field. To support the demand for artificial intelligence applications and guarantee the service level agreement, cloud computing should provide not only computing resources but also fundamental mechanisms for effi...

Concurrent Programming for Distributed Artificial Intelligence