The phrase "agents make decisions" is correct and usable in written English.
You can use it in contexts discussing decision-making processes, particularly in fields like economics, psychology, or artificial intelligence.
Example: "In a market economy, agents make decisions based on available information and personal preferences."
Alternatives: "actors choose options" or "participants determine actions."
The distributed control agents make decisions locally and communicate plans with each other.
However, in competitive games, the agents make decisions competitively to maximize their individual gains.
However, the agents make decisions irrespective of the valuation of the density information.
In MAS, autonomous computational agents make decisions based on goals within an environment, and they communicate information about their goal achievement to other independent agents [29, 30, 31].
The agents make decisions which are based on the input from around them and their internal, sub-cellular decision making rules.
The administration's policy amounts to letting individual federal agents make decisions about who they think should be deported or allowed to stay.
The first is that the system consists of a number of heterogeneous agents, and each of those agents makes decisions about how to behave.
We examine the efficiency of emissions trading in bilateral and clearinghouse markets with heterogeneous, boundedly rational agents making decisions under imperfect and asymmetric information, and transaction costs.
Tony Gwynn stayed with the San Diego Padres, Mark Grace left the Chicago Cubs and Alex Rodriguez remained undecided yesterday as dozens of baseball free agents made decisions about their futures before a midnight deadline.
The one restriction that Wiener would require in any society is that it must provide a context where humans can realize their full potential as sophisticated information-processing agents, making decisions and choices, and thereby taking responsibility for their own lives.
These features are essential in multi-robot and human-robot contexts, where tasks need to be easily passed between systems and plan adaptation helps coping with the unpredictability inherent to systems where multiple agent make decisions.
