Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...
Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. ...
Arvind S. Krishna, Douglas C. Schmidt, Atif M. Mem...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
People often use software for mundane tasks and expect it to be dependable enough for their needs. Unfortunately, the incomplete and imprecise specifications of such everyday sof...
Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip K...
— Grid computing requires network services beyond what is currently provided by the Best-Effort Internet. Among the different approaches towards network Quality of Service, aggre...