The phrase "agent values" is correct and usable in written English.
It can be used in contexts related to decision-making, ethics, or preferences of an agent, such as in economics, artificial intelligence, or philosophy.
Example: "In the context of AI development, understanding the agent values is crucial for creating systems that align with human ethics."
Alternatives: "agent preferences" or "agent principles".
In the type of setting considered, agent values are independent of one another.
The method considered in this paper refines the number of agents that need to be probed by iteratively publishing thresholds on acceptable agent values.
We employ the geometric approach developed by Goeree and Kushnir (2016) to characterize the set of feasible interim agent values (agent utilities excluding transfers) by deriving the analytical expression of its support function.
In the model considered, there is a fixed cost for publishing the thresholds and a variable cost for obtaining agent values that increases with the number of values obtained.
We may assign utilities to such outcomes, numbers that represent the degree to which the agent values them.
For instance, it assumes that each agent values inaccuracy in a sufficiently specific way that they narrow down the class of inaccuracy measures to a single measure that they can then use to obtain this advice.
One local real estate agent valued it at $8 million.
found that 46% of the 2,000 people asked sold their home for less than the amount at which the estate agent valued it.
The couple intended to move from the home and had an estate agent value the property last week.
We differentiate between two information models when both the desired figures and their values are unknown to the auctioneer or when only the agents' values are private data.
When the agents' values are drawn independently from a distribution, the Bayesian optimal mechanism is given by Myerson [1] as a virtual-surplus optimizer.
