The phrase "agent capabilities" is correct and usable in written English.
It can be used in contexts related to technology, artificial intelligence, or any field where the abilities or functions of an agent (such as a software agent or a human agent) are being discussed.
Example: "The new software update enhances the agent capabilities, allowing it to perform more complex tasks efficiently."
Alternatives: "agent functions" or "agent skills".
Depending on the domain and agent capabilities, each EA has different advantages.
In this work, we propose two abstractions that provide the developer with a new way of modeling reactive agent capabilities in dynamic environments.
Agent rights are specified in a security policy rule model attached to the interaction model and describe constraints upon agent capabilities caused by their associated social roles.
Herein, the authors present fundamental properties required by a decentralized microgrid multi-agent system (MAS), define agent capabilities that support resilient operations, and discuss aspects of the microgrid MAS necessary to smoothly transition between system states.
Technologies such as IPsoft's Amelia are built on cognitive agent capabilities that allow interaction with humans in applications such as level 1 call-center or service desk support.
Ontology mapping between portions of the domain ontology and the local agent's knowledge is required to ensure that all agent capabilities have their knowledge requirement available to their reasoning format.
That is, for a particular chosen agent capability, the domain ontology required may need to be adapted.
Previous approaches to select agents to form a team rely on single-agent capabilities, and team performance is treated as a sum of such known capabilities.
Motivated by complex team formation situations, we address the problem where both single-agent capabilities may not be known upfront, e.g., as in ad hoc teams, and where team performance goes beyond single-agent capabilities and depends on the specific synergy among agents.
For successful exploration, a trade-off must be established between the agents' capabilities and resource consumption.
In addition, technologies enabling instant claim processing, better underwriting tools or enhancing agents' capabilities by digitalization can cut down the operational costs on a massive scale.
