The International FLAIRS Conference Proceedings最新文献_第3页

Player Identification for Collectible Card Games with Dynamic Game States 具有动态游戏状态的可收集卡片游戏的玩家识别

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133244

Logan Fields, John Licato

引用次数: 0

Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals 急诊科病人流程管理培训的严肃游戏:最新技术和观点-培训ED专业人员的严肃游戏

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133276

Charlotte Blot, Katia Weickert, Arthur Payros, Marta Avalos, C. Gil-Jardiné

引用次数: 1

Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats 利用霸凌痕迹增强多方聊天中霸凌参与者角色识别

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133191

Anaïs Ollagnier, Elena Cabrio, S. Villata

{"title":"Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats","authors":"Anaïs Ollagnier, Elena Cabrio, S. Villata","doi":"10.32473/flairs.36.133191","DOIUrl":"https://doi.org/10.32473/flairs.36.133191","url":null,"abstract":"As online content continues to grow, so does the spread of online hate, especially on social media. Most research efforts conducted on the task of bullying participant role identification are directed towards social networks such as Twitter and Instagram. However, private instant messaging platforms and channels were pinpointed in recent studies as the most prominent grounds for cyberbullying, especially among teens. Since data collection from major social media platforms is strictly limited, very few studies have investigated this task in a multi-party setting. However, the recent release of resources mimicking online aggression situations that may occur among teens on private instant messaging platforms contributes to filling this gap. In this study, we introduce a full pipeline aiming at automating the identification of bullying participant roles (bully and victim) in multi-party chats. Leveraging pre-trained language models and different learning frameworks, we perform hateful content classification of exchanged messages according to a binary scheme (online hate or no online hate). Then, - from these bullying traces - bullying behavioural cues (repetition and intention to harm) are derived and formalised into a role scoring function. As a result, the proposed pipeline identifies the bully and the victim among chat participants. Evaluated against state-of-the-art methods, the proposed pipeline achieves better performances considering all the datasets and roles to predict. In addition, the error analysis confirms that deriving bullying behavioural cues is beneficial to the task of participant role identification.","PeriodicalId":302103,"journal":{"name":"The International FLAIRS Conference Proceedings","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128302923","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: 3

Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach 在基于 GNN 的建模方法中，利用注意力进行符号抽象，识别分布式空间传感器网络中的信息节点

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133109

Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller

引用次数: 1

FLAIRS-36 Invited Talk Abstracts FLAIRS-36邀请演讲摘要

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133952

Soon Chun

引用次数: 0

ML-based Plant Stress Detection from IoT-sensed Reduced Electromes 基于ml的植物应力检测——基于物联网感知的还原电偶

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133180

M. A. D. Oliveira, Gregory Sedrez, Gerson Geraldo H. Cavalheiro

{"title":"ML-based Plant Stress Detection from IoT-sensed Reduced Electromes","authors":"M. A. D. Oliveira, Gregory Sedrez, Gerson Geraldo H. Cavalheiro","doi":"10.32473/flairs.36.133180","DOIUrl":"https://doi.org/10.32473/flairs.36.133180","url":null,"abstract":"The recognition of patterns in the electrical activities of plants (electromes, in time series format) has gained prominence in recent years. The use of Internet of Things (IoT) devices and Machine Learning (ML) techniques has automated and enhanced data collection and classification, helping researchers identify behaviors and classify them to detect plant stress. However, processing this information means dealing with large amounts of data, which is a major challenge from a computer science perspective. Thus, in this work, we propose an approach for reduction and classification of time series representing plant electromes to balance the trade-off between reduction and data quality, without compromising the classification task. We investigated the use of three time series approximation techniques (PAA, SAX, and MCB) in combination with ML algorithms, such as ANN, KNN, and SVM, in order to find the most suitable approach for this scope. The results validated the proposed approach, with the best performance obtained with the PAA+SAX techniques combined with the SVM algorithm, achieving good data reduction and improving stress detection, without compromising data quality. The main challenges in these tasks and future research directions are also discussed.","PeriodicalId":302103,"journal":{"name":"The International FLAIRS Conference Proceedings","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132961190","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

A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents 交互式对抗力代理开发中的行为克隆方法比较

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133299

Logan Lebanoff, Nicholas Paul, Christopher A. Ballinger, Patrick Sherry, Gavin Carpenter, Charles Newton

{"title":"A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents","authors":"Logan Lebanoff, Nicholas Paul, Christopher A. Ballinger, Patrick Sherry, Gavin Carpenter, Charles Newton","doi":"10.32473/flairs.36.133299","DOIUrl":"https://doi.org/10.32473/flairs.36.133299","url":null,"abstract":"Modern modeling and simulation environments, such as commercial games or military training systems, frequently demand interactive agents that exhibit realistic and responsive behavior in accordance with a predetermined specification, such as a storyboard or military tactics document.Traditional methods for creating agents, such as state machines or behavior trees, necessitate a significant amount of effort for developing state representations and transition processes through manual knowledge engineering. On the other hand, newer techniques for behavior generation, such as deep reinforcement learning, require a vast amount of training data (centuries in many cases), and there is no guarantee that the generated behavior will align with intended objectives and courses of action. This paper examines the application of behavior cloning approaches in designing interactive agents. In our approach, users start by defining desired behavior through straightforward methods such as state machine models or behavior trees. Behavior cloning methods are then used to transform ground-truth trajectory data sampled from these models into differentiable policies that are further refined through engagement with interactive game environments. This method results in improvements in training results when compared on dimensions of task performance and stability of training.","PeriodicalId":302103,"journal":{"name":"The International FLAIRS Conference Proceedings","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919751","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

A Multi-Dictionary Approach to Abstractness/Concreteness-Based Authorship Attribution 基于抽象性/具体性的作者归属多词典方法

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133262

Lubomir Ivanov

引用次数: 0

AI-supported Digital Twins in applications related to sustainable development goals 在与可持续发展目标相关的应用中，人工智能支持的数字孪生

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133630

A. Giret, V. Julián, C. Carrascosa

引用次数: 2

Relative Effects of Positive and Negative Explanations on Satisfaction and Performance in Human-Agent Teams 积极和消极解释对人- agent团队满意度和绩效的相对影响

The International FLAIRS Conference Proceedings Pub Date : 2023-05-08 DOI: 10.32473/flairs.36.133371

Bryan Lavender, Sami Abuhaimed, S. Sen

{"title":"Relative Effects of Positive and Negative Explanations on Satisfaction and Performance in Human-Agent Teams","authors":"Bryan Lavender, Sami Abuhaimed, S. Sen","doi":"10.32473/flairs.36.133371","DOIUrl":"https://doi.org/10.32473/flairs.36.133371","url":null,"abstract":"Improving agent capabilities and increasing availability of computing platforms and Internet connectivity allows for more effective and diverse collaboration between human users and automated agents. To increase the viability and effectiveness of human-agent collaborative teams, there is a pressing need for research enabling such teams to maximally leverage relative strengths of human and automated reasoners. We study virtual and ad-hoc teams, comprising a human and an agent, collaborating over a few episodes where each episode requires them to complete a set of tasks chosen from given task types. Team members are initially unaware of the capabilities of their partners, and the agent, acting as the task allocator, has to adapt the allocation process to maximize team performance. The focus of the current paper is on analyzing how allocation decision explanations can affect both user performance and the human workers' outlook including factors such as motivation and satisfaction. We investigate the effect of explanations provided by the agent allocator to the human on performance and key factors reported by the human teammate on surveys. Survey factors include the effect of explanations on motivation, explanatory power, and understandability, as well as satisfaction with and trust / confidence in the teammate. We evaluated a set of hypotheses on these factors related to positive, negative, and no-explanation scenarios through experiments conducted with MTurk workers.","PeriodicalId":302103,"journal":{"name":"The International FLAIRS Conference Proceedings","volume":"13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113980128","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