Amin Milani Fard

Papers

Total Citations

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About

Amin Milani Fard is a researcher whose work sits at the intersection of artificial intelligence, multi-agent systems, and robotics, with a particular focus on simulated soccer and humanoid locomotion. His research explores how intelligent agents can make strategic decisions in dynamic, competitive environments. His most cited paper, "Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent" (2007, 11 citations), introduces a novel approach that combines game theory and data mining to enable a coach agent to select optimal strategies for simulated soccer players. This work demonstrates his ability to bridge theoretical frameworks with practical, real-time decision-making in multi-agent systems. In related research, Fard developed a "Fuzzy Two-Phase Decision Making Approach for Simulated Soccer Agent" (2006, 4 citations), further refining agent decision-making under uncertainty. Extending his work from virtual agents to physical robots, he also contributed to "An evolutionary gait generator with online parameter adjustment for humanoid robots" (2008, 2 citations), where he applied genetic algorithms to optimize walking patterns. While his citation counts are modest, Fard’s contributions are notable for their interdisciplinary nature, combining game theory, fuzzy logic, and evolutionary computation to solve complex coordination and control problems in both simulated and robotic systems.