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Persuasive Technology for Human Development: Review and Case Study 劝导技术促进人类发展:回顾与案例研究
EAI Endorsed Trans. Serious Games Pub Date : 2017-08-23 DOI: 10.4108/eai.8-12-2017.153401
A. Harris, S. Islam, Junaid Qadir, Ussama Ahmad Khan
{"title":"Persuasive Technology for Human Development: Review and Case Study","authors":"A. Harris, S. Islam, Junaid Qadir, Ussama Ahmad Khan","doi":"10.4108/eai.8-12-2017.153401","DOIUrl":"https://doi.org/10.4108/eai.8-12-2017.153401","url":null,"abstract":"Technology is an extremely potent tool that can be leveraged for human development and social good. Owing to the great importance of environment and human psychology in driving human behavior, and the ubiquity of technology in modern life, there is a need to leverage the insights and capabilities of both fields together for nudging people towards a behavior that is optimal in some sense (personal or social). In this regard, the field of persuasive technology, which proposes to infuse technology with appropriate design and incentives using insights from psychology, behavioral economics, and human-computer interaction holds a lot of promise. Whilst persuasive technology is already being developed and is at play in many commercial applications, it can have the great social impact in the field of Information and Communication Technology for Development (ICTD) which uses Information and Communication Technology (ICT) for human developmental ends such as education and health. In this paper we will explore what persuasive technology is and how it can be used for the ends of human development. To develop the ideas in a concrete setting, we present a case study outlining how persuasive technology can be used for human development in Pakistan, a developing South Asian country, that suffers from many of the problems that plague typical developing country.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126508375","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: 7
Simulating Customer-to-Customer Interaction In a B2B Financial Service Business By Empirical Agent-Based Modeling 基于实证agent模型的B2B金融服务业务客户交互模拟
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262497
Makoto Mizuno, Keiko Toya, Kana Ozawa, Yutaro Nemoto, Shintaro Tanno, K. Arai, Keisuke Oura, Akira Ishii, T. Ohnishi
{"title":"Simulating Customer-to-Customer Interaction In a B2B Financial Service Business By Empirical Agent-Based Modeling","authors":"Makoto Mizuno, Keiko Toya, Kana Ozawa, Yutaro Nemoto, Shintaro Tanno, K. Arai, Keisuke Oura, Akira Ishii, T. Ohnishi","doi":"10.4108/eai.3-12-2015.2262497","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262497","url":null,"abstract":"Service research has emphasized triad relationships between a firm, employees and customers. To coordinate these stakeholders effectively, it is highly important to understand what service activities are beneficial to all or some of these stakeholders. Yet, the recent increase in C2C interaction may make the problem more complex. This study proposes a methodology combining statistical techniques and agent-based modeling, which makes it possible to assess the joint impact of each service value and C2C interaction on the payoffs.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126881364","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
Ant Intelligent Robot: A Versatile and Low Cost Miniature Mobile Robot Platform for Swarm Robotics Research and Education 蚂蚁智能机器人:用于群体机器人研究和教育的多功能低成本微型移动机器人平台
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262874
Dan M. Novischi, A. Florea
{"title":"Ant Intelligent Robot: A Versatile and Low Cost Miniature Mobile Robot Platform for Swarm Robotics Research and Education","authors":"Dan M. Novischi, A. Florea","doi":"10.4108/eai.3-12-2015.2262874","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262874","url":null,"abstract":"In this paper we present the Ant Intelligent Robot (AIR), a miniature mobile platform designed for swarm robotic research and education. The proposed system has a modular and distributed architecture that provides the necessary versatility, robustness and user accessibility to enable the study of a broad range of applications, while achieving a low cost. We also present a comparison between AIR and other platforms that were recently used in collective experiments.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121424803","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: 2
Tough Behavior in the Repeated Bargaining Game. A Computer Simulation Study 反复讨价还价博弈中的强硬行为。计算机模拟研究
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262403
Linh Chi Nguyen, L. Andreozzi
{"title":"Tough Behavior in the Repeated Bargaining Game. A Computer Simulation Study","authors":"Linh Chi Nguyen, L. Andreozzi","doi":"10.4108/eai.3-12-2015.2262403","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262403","url":null,"abstract":"Bargaining behavior occupies an important part in economics literature, or social sciences in general. Although there is an extensive simulation literature on social tradeoff in the Prisoner's Dilemma and the one-shot bargaining game, little has been done for the repeated bargaining game. Part of reason for this neglect is that, despite having a continuum of Nash equilibria, under homogeneous settings, the one shot bargaining game consistently gives a stable equilibrium of fairness (50-50 division), robust to many kind of tough perturbations. However, it's true that social interaction doesn't always yield unconditional egalitarianism. \u0000 \u0000Hence we simulate a population of homogeneous agents playing the repeated bargaining game to test the stability of the 50-50 norm under evolutionary force. It turns out that when it comes to repeated interaction, the fair norm no longer stands strong.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121588067","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: 2
Multiscale Modeling of Information Conveyed by Gene-Regulatory Signaling 基因调控信号传递信息的多尺度建模
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262540
Michael L. Mayo, K. Pilkiewicz
{"title":"Multiscale Modeling of Information Conveyed by Gene-Regulatory Signaling","authors":"Michael L. Mayo, K. Pilkiewicz","doi":"10.4108/eai.3-12-2015.2262540","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262540","url":null,"abstract":"Cells leverage signaling molecules to carry information about the cellular state to receptors that regulate protein synthesis in order to suit the cell's dynamically evolving needs. This regulation remains efficient and robust, despite that substantial stochasticity pervades the sub-cellular environment. In electronic and wireless signaling systems, the mutual information quantifies the extent to which information in a signal can be received across a communications channel. Applying this same metric to gene-regulatory interactions can better clarify how these biological signaling systems mitigate environmental noise. In this paper we study the information-transmission characteristics of a single gene-regulatory interaction by employing an exactly solvable master equation model for the production and degradation of individual proteins. This molecular-scale description is then coupled to a mass-action kinetics model of dynamic protein concentrations in a macroscopic sample of cells, enabling parameter values to be obtained by experiments performed using cell-based assays. We find that the mutual information depends monotonically on two parameters: one which characterizes stochastic variations in the concentration of signaling molecules, and the other the ratio of kinetic production to degradation rates of the regulated protein.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128576575","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: 2
Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions 机器人群中的集体决策:BEECLUST算法在各种条件下的鲁棒性
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262332
Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, T. Schmickl
{"title":"Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions","authors":"Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, T. Schmickl","doi":"10.4108/eai.3-12-2015.2262332","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262332","url":null,"abstract":"In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions. \u0000 \u0000The algorithm has low requirements thus it is promising for implementation in robots with low resources. Here the algorithm is applied in swarms of improved e-puck robots in three different conditions in order to study the strengths and limitations of the algorithm. The collective system demonstrated a high performance in adapting to a dynamic environment as well as a very low sensitivity to additional robots with malfunctioning sensors. On the other hand the system shows an strong response to robots that act as social seeds influencing the decision-making of the swarm.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125929473","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: 5
Adaptive Leader Selection based on Influential Individuals 基于影响力个体的适应性领导选择
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262513
Hiroshi Sato, M. Kubo, A. Namatame
{"title":"Adaptive Leader Selection based on Influential Individuals","authors":"Hiroshi Sato, M. Kubo, A. Namatame","doi":"10.4108/eai.3-12-2015.2262513","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262513","url":null,"abstract":"As the development of technology, the demand of operating UAVs (Unmanned Aerial Vehicle) in group grows larger. In the operation of group UAVs, it is important that who the leaders should be and who the followers will be. We use multi agent technique to this problem. This study proposes the mechanism of leader selection based on influence of an agent to its neighbors' movement. The influence value can be calculated by the forces from neighborhood agents. In the proposed method, the leaders are selected dynamically and adaptively. Simple computer simulation shows the effectiveness of the method.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390911","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
Adaptive Wind Driven Optimization 自适应风力优化
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262424
Zikri Bayraktar, M. Komurcu
{"title":"Adaptive Wind Driven Optimization","authors":"Zikri Bayraktar, M. Komurcu","doi":"10.4108/eai.3-12-2015.2262424","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262424","url":null,"abstract":"In this paper, we propose two new methods to create an adaptive Wind Driven Optimization (WDO) algorithm, both of which are shown to outperform the classical WDO method while eliminating the need for fine-tuning the coefficients of the update equations. While the classical WDO offers a simple and efficient meta-heuristic optimization algorithm, the coefficients that are inherent to the workings of the algorithm create an undesired level of complexity especially for the novice users. To alleviate this complexity and automate the coefficient selection, two adaptive Wind Driven Optimization (AWDO) methods are proposed in this paper. First method is to replace the fixed values of the coefficients with randomly generated numbers from a uniform distribution at each iteration and the second method is to optimize the selection of the coefficients with the Covariance Matrix Adaptation Evaluation Strategy (CMAES). To evaluate the performance of the proposed methods for AWDO, four well-known numerical benchmark functions from the literature are utilized and results are compared against the classical WDO. Both of new methods outperform the classical WDO while the AWDO using CMAES performs the best among of all.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116530196","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: 24
Choose Early or Choose Wisely - A Chinese Restaurant Game Approach 选择早或选择明智-中国餐馆游戏方法
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262352
Fang-Li Kung, Chih-Yu Wang
{"title":"Choose Early or Choose Wisely - A Chinese Restaurant Game Approach","authors":"Fang-Li Kung, Chih-Yu Wang","doi":"10.4108/eai.3-12-2015.2262352","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262352","url":null,"abstract":"Agents in a network often face situations requiring them to make decisions without sufficient information. In such situations, they may postpone their decisions in order to observe and collect more information through learning from other agents. In this paper, we discuss the advantages of the postponement strategy from a game- theoretic perspective. We propose an extension to Chinese Restaurant Game, a general framework for social learning. In the proposed extension, rational agents may change their decision order at will. We find that two important elements in Chinese Restaurant Game, social learning and negative network externality, still dominate agents’ decision process and the postponement strategy. We study a two-player case in detail. Through simulations, we find that the signal quality and table size ratio greatly influence whether a rational agent will apply the postponement strategy or not. In some cases, rational agents may postpone their decisions in response to some, but not all, signals they received. We observe that such a strategy is informative, which also helps other agents improve their strategies accordingly.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"365 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120896006","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
From Swarm Simulations to Swarm Intelligence 从群体模拟到群体智能
EAI Endorsed Trans. Serious Games Pub Date : 2016-05-24 DOI: 10.4108/eai.3-12-2015.2262484
A. Schumann
{"title":"From Swarm Simulations to Swarm Intelligence","authors":"A. Schumann","doi":"10.4108/eai.3-12-2015.2262484","DOIUrl":"https://doi.org/10.4108/eai.3-12-2015.2262484","url":null,"abstract":"In self-organizing systems such as collective intelligent behaviors of animal or insect groups: flocks of birds, colonies of ants, schools of fish, swarms of bees, etc. there are ever emergent patterns which cannot be reduced to a linear composition of elementary subsystems properly. This reduction is possible only due to many repellents and an artificial environment. The emergent patterns are studied in the so-called swarm intelligence. In this paper we show that any swarm can be represented as a conventional automaton such as Kolmogorov-Uspensky machine, but with a very low accuracy because of deleting emergent phenomena. Furthermore, we show as well that implementing some unconventional algorithms of p-adic arithmetic and logic are much more applicable than conventional automata. By using p-adic integers we can code different emergent patterns.","PeriodicalId":203496,"journal":{"name":"EAI Endorsed Trans. Serious Games","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130892800","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: 5
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