ACM International Conference on International Agent Technology最新文献

TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations TaxiSim:出租车车队运营评估的多智能体仿真平台

ACM International Conference on International Agent Technology Pub Date : 2011-05-02 DOI: 10.1109/WI-IAT.2011.138

Shih-Fen Cheng, Thi-Duong Nguyen

{"title":"TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations","authors":"Shih-Fen Cheng, Thi-Duong Nguyen","doi":"10.1109/WI-IAT.2011.138","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.138","url":null,"abstract":"Taxi service is an important mode of public transportation in most metropolitan areas since it provides door-to-door convenience in the public domain. Unfortunately, despite all the convenience taxis bring, taxi fleets are also extremely inefficient to the point that over 50% of its operation time could be spent in idling state. Improving taxi fleet operation is an extremely challenging problem, not just because of its scale, but also due to fact that taxi drivers are self-interested agents that cannot be controlled centrally. To facilitate the study of such complex and decentralized system, we propose to construct a multiagent simulation platform that would allow researchers to investigate interactions among taxis and to evaluate the impact of implementing certain management policies. The major contribution of our work is the incorporation of our analysis on the real-world driver's behaviors. Despite the fact that taxi drivers are selfish and unpredictable, by analyzing a huge GPS dataset collected from a major taxi fleet operator, we are able to clearly demonstrate that driver's movements are closely related to the relative attractiveness of neighboring regions. By applying this insight, we are able to design a background agent movement strategy that generates aggregate performance patterns that are very similar to the real-world ones. Finally, we demonstrate the value of such system with a real-world case study.","PeriodicalId":123634,"journal":{"name":"ACM International Conference on International Agent Technology","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121481543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Time-Critical Decision Making in Interactive Dynamic Influence Diagram 交互式动态影响图中的时间关键决策

ACM International Conference on International Agent Technology Pub Date : 2010-08-31 DOI: 10.1109/WI-IAT.2010.82

Yi-feng Zeng, Yanping Xiang

引用次数: 4

Using a Social Orientation Model for the Evolution of Cooperative Societies 利用社会导向模型研究合作型社会的演化

ACM International Conference on International Agent Technology Pub Date : 2010-08-31 DOI: 10.1109/WI-IAT.2010.62

Kan-Leung Cheng, Inon Zuckerman, U. Kuter, Dana S. Nau

{"title":"Using a Social Orientation Model for the Evolution of Cooperative Societies","authors":"Kan-Leung Cheng, Inon Zuckerman, U. Kuter, Dana S. Nau","doi":"10.1109/WI-IAT.2010.62","DOIUrl":"https://doi.org/10.1109/WI-IAT.2010.62","url":null,"abstract":"We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel player model based upon empirical evidence from the social and behavioral sciences stating that: (1) an individual’s behavior may often be motivated not only by self-interest but also by the consequences for others, and (2) individuals vary in their interpersonal social tendencies, which reflect stable personal orientations that influence their choices. Alongside the formal player model we provide an analysis that considers possible interactions between different types of individuals and identifies five general steady-state behavioral patterns. We present evolutionary simulations that ratify previous findings on evolution of cooperation, and provide new insights on the evolutionary process of cooperative behavior in a society as well as on the emergence of cooperative societies. Our main experimental result demonstrates that in contrast to previous common knowledge, increasing mutual reward or mutual punishment in the Prisoner’s dilemma game does not result in the same type of cooperative society: while increasing reward does increase the society’s cooperativeness level, increasing mutual punishment does not.","PeriodicalId":123634,"journal":{"name":"ACM International Conference on International Agent Technology","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115668153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artifacting the Organizational Mechanisms: Adding Functionality in MAS Environments 制造组织机制:在MAS环境中添加功能

ACM International Conference on International Agent Technology Pub Date : 2010-08-31 DOI: 10.1109/WI-IAT.2010.58

Sergio Esparcia, E. Argente, Roberto Centeno, Ramón Hermoso

引用次数: 1

Behavior Design of Game Character's Agent 游戏角色代理的行为设计

ACM International Conference on International Agent Technology Pub Date : 2010-08-31 DOI: 10.1109/WI-IAT.2010.73

Tony Dujardin, J. Routier

引用次数: 4

Gastro-Intestinal Tract Inspired Computational Paradigm 胃肠道灵感计算范例

ACM International Conference on International Agent Technology Pub Date : 2007-11-02 DOI: 10.1109/IAT.2007.57

M. S. Awan, M. Awais

引用次数: 9

Automatically Defined Swarms for Task Allocation 自动定义任务分配群

ACM International Conference on International Agent Technology Pub Date : 2007-11-02 DOI: 10.1109/IAT.2007.35

W. Drozd

{"title":"Automatically Defined Swarms for Task Allocation","authors":"W. Drozd","doi":"10.1109/IAT.2007.35","DOIUrl":"https://doi.org/10.1109/IAT.2007.35","url":null,"abstract":"Insect inspired task allocation schemes have received significant attention as a way to control agents in dynamic or uncertain domains. This is largely because such mechanisms rely on only simple definitions of agent behavior, a small amount of communication and a high-degree of fault tolerance. However, it is often difficult to conceptualize the appropriate learning and decision rules for these agents since in the case of swarm-intelligence approaches, the focus is not on an individual agent's ability to optimize its behavior, but on the resulting performance of the entire complex system. Although there have been successes in a variety of domains in the past, many of these approaches have required considerable effort by the researcher to tailor the canonical definition to the specific problem at hand. This paper presents a generalized framework for solving multiagent task allocation problems using the insect-inspired model. I then show that because of the inherent simplicity of the agent's design, we can automatically define these learning and decision rules. A multi-robot task allocation experiment has been defined and performed. The results show how these automatically-defined behaviors outperform existing manually defined behaviors. What follows is a reusable and automatic approach to developing customized insect inspired agent behaviors for use with any dynamic task allocation problem.","PeriodicalId":123634,"journal":{"name":"ACM International Conference on International Agent Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

A Hybrid of Inference and Local Search for Distributed Combinatorial Optimization 分布式组合优化的推理与局部搜索混合

ACM International Conference on International Agent Technology Pub Date : 2007-11-02 DOI: 10.1109/IAT.2007.10

Adrian Petcu, B. Faltings

引用次数: 25

The Concept of Autonomy in Distributed Computation and Multi-agent Systems 分布式计算和多智能体系统中的自治概念

ACM International Conference on International Agent Technology Pub Date : 2007-11-02 DOI: 10.1109/IAT.2007.97

M. Nowostawski, M. Purvis

引用次数: 4

Agent-Based Air Traffic Control in Airport Airspace 基于agent的机场空域空中交通管制

ACM International Conference on International Agent Technology Pub Date : 2007-11-02 DOI: 10.1109/IAT.2007.23

V. Gorodetsky, O. Karsaev, V. Kupin, V. Samoilov

引用次数: 4