AI 용어집
인공지능 완전 사전
Communication Learning
Process by which autonomous agents learn to develop and use communication protocols to improve their collective performance in multi-agent environments.
Emergent Communication Protocol
Self-organized language or communication system that naturally evolves between agents without external pre-specification to solve collaborative tasks.
Agent Language
Symbolic or continuous system developed by agents to encode and transmit information relevant to solving shared problems.
Communicative Signal
Vector or message emitted by an agent with the aim of influencing the behavior of other agents through the transmission of relevant information.
Communication Matrix
Mathematical structure representing the available communication channels between agents, defining who can communicate with whom and how.
Cooperation through Communication
Paradigm where agents collaborate by actively exchanging information to coordinate their actions and optimize collective rewards.
Multi-agent Communication Learning
Subfield of multi-agent RL focusing on the joint development of agents' action and communication policies.
Emergent Semantics
Meaning that spontaneously develops in communication protocols between agents through experience and continuous interaction.
Communication Channel
Means by which agents can transmit and receive information, which can be discrete, continuous, local, or global depending on the architecture.
Communication Strategy
Deterministic or stochastic policy defining when, what, and how to communicate based on the agent's local state and collective objectives.
Joint Learning
Simultaneous process of optimizing agents' action and communication policies to maximize overall cooperative performance.
Game Theory of Communication
Theoretical framework analyzing strategic interactions between agents when communication alters game equilibria and incentives.
Information Exchange Protocol
Set of rules structuring how agents share and process information relevant to their collaborative task.
Communication Reinforcement Learning
Extension of RL where actions include communication decisions, with rewards accounting for communicative and collaborative effectiveness.
Coordination through Communication
Mechanism by which agents synchronize their behaviors and avoid conflicts through continuous exchange of relevant information.
Message Passing
Communication technique where agents transmit structured messages according to predefined or learned protocols to coordinate their actions.
Collaborative Communicative Learning
Approach where agents jointly optimize their individual and collective learning capabilities through sophisticated communication mechanisms.
Negotiation Protocol
Structured communication system allowing agents to debate, compromise, and reach agreements on resource allocations or action plans.
Multi-Agent Communication System
Integrated architecture defining the mechanisms for transmitting, receiving, and interpreting messages between populations of autonomous agents.
Distributed Communicative Learning
Paradigm where distributed agents optimize their local policies while maintaining effective communication to achieve global objectives.