How AI agent communicates in multi-agent systems What are the agent communication languages involved?

How AI agent communicates in multi-agent systems What are the agent communication languages involved?

Agent Communication Language (ACL), proposed by the Foundation for Intelligent Physical Agents (FIPA), is a proposed standard language for agent communications. Knowledge Query and Manipulation Language (KQML) is another proposed standard. KQML (Knowledge Query and Manipulation Language)

How does AI agent communicate in multi-agent system?

Agents in multiagent systems are concurrent autonomous entities that need to coordinate and to cooperate so as to perform their tasks; these coordination and cooperation tasks might be achieved through communication. This book presents the state of the art of research on communication in multiagent systems.

Why is communication required in multi-agent systems MAS )?

The agent communication languages proven successful in software based multi-agent systems incur overheads that make them impractical or infeasible for the transfer of low level data. Agents in a multi-agent system (MAS) must be able to in- teract and communicate with each other.

What is agent in multi-agent system?

Multi-agent systems (MAS) are a core area of research of contemporary artificial intelligence. A multi-agent system consists of multiple decision-making agents which interact in a shared environment to achieve common or conflicting goals.

How are conflicts resolved in a multi agent system?

Conflict resolution in multi-agent systems based on negotiation and arbitrage. Abstract: The multi-agent system is the subject of a stream of research within distributed artificial intelligence. This paper presents a formal and executable approach to resolve conflict in multi-agent systems by negotiation and arbitrage.

What are the features of an intelligent agent?

Intelligent agents have the following distinguishing characteristics:

  • They have some level of autonomy that allows them to perform certain tasks on their own.
  • They have a learning ability that enables them to learn even as tasks are carried out.
  • They can interact with other entities such as agents, humans, and systems.