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The problem instance has a number of agents and a number of tasks. Any agent can be assigned to perform any task, incurring some cost that may vary depending on the agent-task assignment. It is required to perform as many tasks as possible by assigning at most one agent to each task and at most one task to each agent, in such a way that the ...
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In contrast, a dual agent will receive the entire commission on the transaction, since there’s no second agent to split it with. Thus, the amount can often be open to negotiation.
The multiple principal problem, also known as the common agency problem, the multiple accountabilities problem, or the problem of serving two masters, is an extension of the principal-agent problem that explains problems that can occur when one person or entity acts on behalf of multiple other persons or entities. [1]
The term "agent" is not to be confused with salesperson or broker. An agent is simply a licensee that has entered into an agency relationship with a client. A broker can also be an agent for a client. It is commonly the firm that has the actual legal relationship with the client through one of their sales staff, be they salespersons or brokers.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Kilgore estimated that the number of agents could decrease as much as 50% as a result of the NAR settlement, with the remaining agents likely to be "more professional, more efficient agents."
The agent-level program can be done in parallel for all agents, so this method scales near-optimally in the number of processors. [ 3 ] The mechanism has been considered for the task of assigning students to courses at the Wharton School of the University of Pennsylvania .