The phrase "agent knowledge" is correct and usable in written English.
It can be used in contexts related to artificial intelligence, machine learning, or any field where an agent (like a software program) possesses information or understanding about a specific domain.
Example: "The AI system's performance improved significantly due to its enhanced agent knowledge about user preferences."
Alternatives: "agent awareness" or "agent understanding".
They are used to model implicit agent knowledge for the family of agents.
The agent knowledge base consists of several parameters which affect their behaviours.
Gilbert is evidently trying to give a more explicit account of single agent knowledge than Lewis and Aumann give.
The agent knowledge in the form of rule-based heuristics designed based on process knowledge gained through simulation under open-loop.
The process of generating tailored product models uses an approach to organizing agent knowledge that limits computational complexity when large numbers of tools are involved.
However, to the extent that the ground of epistemic privilege lies in the self-knowledge of autonomous agents, only those who participate in that agency can have first-personal agent knowledge.
27 January 2010: A report by UN human rights investigators says the UK has been complicit in the secret detention of several of its citizens, including Mohamed. 10 February 2010: The court of appeal rules that the British government must release the documents about agents' knowledge of Mohamed's torture.
The analysis and applications of common knowledge and related multi-agent knowledge concepts has become a lively field of research.
We present a powerful new account of multi-agent knowledge in the situation calculus and an automated reasoning procedure for knowledge queries.
Section 3 reviews applications of multi-agent knowledge concepts, particularly to game theory (von Neumann and Morgenstern 1944), in which common knowledge assumptions have been found to have great importance in justifying solution concepts for mathematical games.
This paper summarizes several multi-agent systems for knowledge management that have been developed recently by the author and his collaborators to highlight new research directions for multi-agent knowledge management systems.
