用非线性规划方法模拟一般对抗代理问题

J. Mange, D. Kountanis
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引用次数: 2

摘要

对抗代理问题是一个广义的博弈论问题,其中一组代理面对一组不同类型和能力的对抗代理,并且必须计划和执行行动以试图完成指定的目标;这个问题的实例通常被认为是军事战斗情况。在本文中,我们将一般的对抗代理问题表述为一个非线性整数规划问题,并展示了如何使用优化求解器为问题的实例生成策略,并举例说明了该方法。最后,我们讨论了这种公式对现实世界问题的有用性,特别是在验证启发式策略和规划算法和方法的系统建模和仿真中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-linear programming approach to simulation of the general adversarial agents problem
The adversarial agents problem is a generalized game-theoretic problem in which a set of agents faces a set of adversarial agents of varying types and capabilities, and must plan and perform actions to try to accomplish a specified goal; instances of this problem are often conceived as military combat situations. In this paper, we formulate the general adversarial agents problem as a non-linear integer programming problem, and show how an optimizing solver can be used to generate strategies for instances of the problem, with examples to illustrate the approach. Finally, we discuss the usefulness of such a formulation for real-world problems, particularly in system modeling and simulation for verification of heuristic strategy and planning algorithms and approaches.
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