Page 300 - Artificial Intelligence for the Internet of Everything

278 Artificial Intelligence for the Internet of Everything

Fig. 14.5 SAGE server after the start of the game.

• Agents lower in the pyramid are not aware of the operation of higher
level agents that make use of them (e.g., holonic).
• Agents dynamically spawn other agents to provide them with the infor-
mation they need. They are not aware of how the child agents achieve
their tasks. They are, in effect, shielded from the complexity of how that
information is collected.
• Interagent communication only occurs between adjacent levels of the
pyramid.
• The complexity of the reasoning capability of agents monotonically
decreases as one descends down the layers of the pyramid.

14.5 REASONING

Reasoning mechanisms enable agents to act autonomously based on the state
of the environment, the information available to them, and their inherent
abilities. This reasoning has been an active area of research for some time
(Stone, 2007 ); the most promising model to date has been the BDI model
(Georgeff et al., 1999). In the BDI model agents have a set of beliefs
about the world. They also have a set of desires that they plan to achieve.