Indeed, (assuming \(W\) is finite[11]) given any epistemic-plausibility model we can find, for each agent, a prior (possibly different ones for different agents) that generates the model as described above.
One of the key players that sets trends and pushes boundaries in the modeling business is the agent that represents models at top modeling agencies around the world.
Social entrepreneurs are impact-driven change agents that develop business models, products and deliver services that address the needs of the most vulnerable world citizens.
Therefore, this paper presents some experiments using SOARI, an architecture that enables the semantic interoperability among agents that have heterogeneous reputation models.
Our model predicts agents that partially block fast EPSPs in excitatory motor neurons will decrease active episode durations or, if strong enough, abolish them.
This paper presents an agent-based simulation model that models both economical and physical relations between firms, recyclers and consumers.
Vogiatzis et al. [29] propose a probabilistic framework that models agent interactions as a hidden Markov model.
The agents are then assembled within a multi-agent system that models the automatic precision feeding equipment as a whole.
Find an agent that specializes in representing fitness models.
The agent-based model that is introduced here assumes that agents' self-appreciation and peer-appreciations are mutually affected in pair-wise interactions.
