The phrase "agent interactions" is correct and usable in written English.
It can be used in contexts related to communication or exchanges between agents, such as in business, technology, or social sciences.
Example: "The study focused on agent interactions within the online marketplace to understand consumer behavior."
Alternatives: "agent communications" or "agent exchanges".
When defining a bidding strategy, generators usually resort to models that anticipate and simulate agent interactions.
How do we build algorithms for agent interactions with human adversaries?
Additional extensions to this mechanism are proposed in order to describe agent interactions.
The architecture of the developed system and typical agent interactions are presented.
The objective of this paper therefore is to investigate how to build algorithms for agent interactions with human adversaries.
Additionally we propose a way to compare different agent architectures for Context Aware System using agent interactions.
We also propose a series of design considerations for future child-agent interactions around voice and prosody, interactive engagement and facilitating understanding.
It addresses the role of emotion in the design of animated pedagogical agents and its effect in human-agent interactions in a learning environment.
In this paper, a new performance assessment methodology for human-in-the-loop call center systems at the level of customer-agent interactions (CAI) is proposed.
Examples include: consumer demand models integrating corner solutions, intertemporal models of household and firm behavior, and dynamic models of single and multi-agent interactions with complete and incomplete information.
We then summarize the substantive contributions of laboratory experiments to our understanding of principal-agent interactions, social preferences, union-firm bargaining, arbitration, gender differentials, discrimination, job search, and labor markets more generally.
