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AAFID was the first architecture that proposed the use of autonomous agents for doing intrusion detection.
We have proposed the use of autonomous agents for coping with some of the challenges of creating ambient computing systems.
Even though for some of the evaluation participants the use of autonomous agents as an abstraction for the development of ubiquitous computing systems was not innate, the evaluation results demonstrate that the execution model of SALSA and its facilities to implement Ubicomp systems are comprehensible.
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In this section we first evaluate the usage of autonomous agents for the SAaaS architecture.
An ABM uses the metaphor of autonomous agents and so, they can be a handful tool for combining different models in one.
Our model for the carpooling application is a computational model that is used for simulating the interactions of autonomous agents and to analyze the effects of change in factors related to the infrastructure, behavior and cost.
Learning plays a vital role in the development of autonomous agents.
Using the language of dynamical systems theory, a general theoretical framework for the synthesis and analysis of autonomous agents is sketched.
"Millions of autonomous agents – the people – making millions of decisions: where to live, where to work, where to eat lunch.
This architecture is composed of a set of autonomous agents adapted to the interaction.
Many agent-oriented methodologies adopted such paradigm in the context of autonomous agents and multi-agent systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com