Our conjecture is that complex autonomous robotic systems have to be fully modeled in their initial design stages by means of agent-based technology.
This study experiments with the manufacturing efficiency by layout change of a factory by means of agent-based autonomous production scheduling, using the virtual factory on a multi-agent simulation system.
Recently, there has been renewed interest in modeling the immune system by means of agent-based models.
Thus, considerable degrees of cytoprotection might be attained by means of agents that interrupt lethal cues at (or before) RCD initiation (when adaptive stress responses are still functional) combined with strategies that inhibit propagation (e.g., chemicals that favor RCD instances associated with a limited release of DAMPs, DAMP-neutralizing measures, anti-inflammatory agents).
We have proved convergence and consensus for the two-agent case and we have analytically shown that the consensus belief is simply the arithmetic mean of agents' initial opinions.
All agents are interconnected by means of an agent-based framework that hosts the agents and provides services for communication and data exchange among them.
We distinguish between these groups by means of the agent label (l_{i}).
We design collaboration and decision-making mechanisms for the implementation of autonomous control by means of multi agent technology and hybrid heuristics.
The main advantages of the model include: removing direct human intervention, overcoming the complexity of computations in resulting algorithm by means of multi agent modules, and ranking suppliers based on both voice of customer and engineering characteristics during all stages of the process.
In addition, M. euphorbiae induced 52 genes encoding proteins with putative function in transport process (i.e. those involved in the directed movement of substances into a living organism by a means of some agent such as a transporter or pore) (Additional file 1: Table S2, S3, S4).
Most of the reverence toward extra-terrestrial culture is displayed by K, an ends-justify-the-means sort of agent.
