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Glosarium AI

Kamus lengkap Kecerdasan Buatan

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Multi-agent resource allocation

Process of optimally distributing limited resources among multiple autonomous agents that interact to achieve collective or individual goals in a shared environment.

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Applied game theory

Mathematical framework modeling strategic interactions between rational agents in allocation situations where each agent's decisions affect the outcomes of others.

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Incentive mechanism

System of rewards and penalties designed to guide agents toward cooperative behaviors and socially optimal allocation decisions.

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Dynamic resource sharing

Adaptive allocation of resources in real-time based on environmental changes, agent performance, and evolving system priorities.

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Distributed optimization

Approach where each agent optimizes its resources locally while contributing to a global objective without having a complete centralized view of the system.

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Agent coordination

Mechanism allowing agents to synchronize their actions and allocation decisions to avoid conflicts and maximize collective efficiency.

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Conflict arbitration

Process of resolving situations where multiple agents compete for the same limited resources, using mediation or prioritization algorithms.

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Utility-based allocation

Strategy distributing resources according to the marginal value or expected utility that each agent can derive from them to accomplish its tasks.

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Distributed consensus

Protocol allowing agents to reach a common agreement on allocation decisions without a central authority, ensuring consistency and fairness.

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Multi-agent routing

Spatial allocation of resources where agents must optimize their trajectories and the use of shared paths to minimize congestion.

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Distributed scheduling

Temporal coordination of resource access where each agent plans its actions while considering the constraints and needs of other agents.

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Fair allocation

Principle aiming to distribute resources fairly among agents, balancing efficiency and equity according to criteria such as proportionality or max-min.

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Contract theory

Formal framework where agents establish binding agreements on future resource allocation, including compensation and penalty clauses.

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Automated negotiation

Algorithmic process where agents communicate and make offers to reach a mutually acceptable agreement on resource distribution.

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Coalition formation

Strategy where agents temporarily associate to collectively access resources they could not obtain individually.

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Weighted voting

Collective decision-making mechanism where each agent's influence on resource allocation is proportional to their contribution or expertise.

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