Hui Xi

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Globally distributed software enhancement necessitates joint efforts of workforces across various organizations, which constitutes a multifaceted social network. Here, we propose a novel modeling framework to optimally assign the workforce to software development projects considering both short and long-term benefits of the organization. The proposed(More)
A novel pedestrian behavior model is proposed, which integrates 1) Extended Decision Field Theory (EDFT) for tactical level human decision-making, 2) Social Force model (SFM) to represent physical interactions and congestions among the people and the environment, and 3) dynamic planning algorithm involving AND/OR graphs. Furthermore, the Social Force model(More)
In industry, many problems are considered as the Decentralized Resource-Constrained Multi-Project Scheduling Problem (DRCMPSP). Existing approaches encounter difficulties in dealing with large problems while preserving information privacy of project agents. In this paper, we propose a novel approach to solve DRCMPSP based on the multi-unit com-binatorial(More)
This work proposes an agent-based simulation system to address challenges in resource constrained multi project scheduling for a technology intensive industrial product development programme. The system aims at helping users develop robust programme schedules by taking care of intra-and inter-dependencies between projects, potential knock-on effect of(More)
Modeling human decision-making behaviors under a complex and uncertain environment is quite challenging. The goal of this tutorial is to discuss an extended Belief-Desire-Intention (BDI) framework that the authors' research group has been developing last decade to meet such a challenge, integrating models and techniques (e.g. Bayesian Belief Network,(More)
A multi-scale simulation framework is proposed to analyze pedestrian delays at signalized crosswalks in large urban areas under different conditions. An aggregated-level model runs in normal conditions, where each crosswalk is represented as an agent. A derived probability function extended from Adams' model is utilized to estimate an average pedestrian(More)
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