Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

Industrial Agents explains how multi-agent systems improve collaborative networks to offer
dynamic service changes, customization, improved quality and reliability, and flexible …

Agent-based simulations, especially those including communication, are complex to model
and execute. To help researchers deal with this complexity and to encourage modular and …

With the recent uptake in renewable energies, such as wind and solar, often comes the
apprehension of unreliable energy supply due to variations in the availability of those …

This paper presents a concrete software architecture dedicated to ambient intelligence (AmI)
features and requirements. The proposed behavioral model, called Higher-order Agent …

This paper provides a survey of the literature on the application of Multi-agent Systems
(MAS) technology for Smartgrids. Smartgrids represent the next generation electric network …

Currently, coal-, gas-, oil and nuclear power plants are used to meet the ever increasing
energy demand. Nevertheless, due to an increasing environmental awareness and entailing …

The community of agent researchers and engineers has produced a number of interesting
and mature results. However, agent technology is still not widely adopted by industrial …

Current multi-agent frameworks usually use centralized, fixed communication infrastructures
for the entities that are deployed using them. This decreases the robustness of the system …

This paper presents AgLOTOS as an algebraic language dedicated to the specification of
agent plans in ambient systems. AgLOTOS offers two levels of plans: elementary plans …