An Introduction to MultiAgent Systems.

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▶ Addresses the accessibility, usability, and, ultimately, acceptability of Information Society Technologies by anyone, anywhere, at anytime, and through any media and device. ▶ Focuses on theoretical, methodological, and empirical research, of both technological and non-technological nature. ▶ Features papers that report on theories, methods, tools, empirical results, reviews, case studies, and best-practice examples.

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Cognitive Therapy: Basics and Beyond

Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

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Multiagent systems: a modern approach to distributed artificial intelligence

The history of Distributed Computing is more than 40 years old. Throughout these years many concepts have been created and applied in different computing models, system architectures, and platforms for the development of distributed systems. Several Big Data frameworks of today implement these concepts of distributed system for data synchronization, message exchange, real time data processing and transaction control in architectures for Big Data Analytics applications. This Chapter discusses basic patterns of distributed systems, those abstract these concepts and can be used in homogeneous, heterogeneous or hybrid environments of Big Data Analytics implementations.

Distributed Computing Patterns Useful in Big Data Analytics

Crime is one of the most critical problems in urban centers, especially in large cities. In this sense, technological solutions are needed to provide security to citizens, contributing to the reduction of crime rates. The present work proposes the UFollower model (Ubiquitous Follower) which meets this scenario. The scientific contribution of this work consists of the use of Context Histories and User Profiles for data analysis focused on ubiquitous security. The use of prediction mechanisms and historical contexts allowed to reach up to 70.35% of inference rate for a particular crime (domestic violence). The comparison with the related works indicates that UFollower is the only proposal that presents the issue of public security with context histories and user profile management. The evaluation was conducted through scenarios, allowing to evaluate the related hypotheses. In this sense, a context simulator was built where twenty objects interacted to allow the evolution. Among them, there are people, vehicles, cameras, and wearables.

UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance

The necessity of teachers to search and to select appropriate educational materials for their classes is a common fact in the educational environment. However, the wide availability of materials, the heterogeneity of the students’ profiles and the diversity of pedagogical activities that can be conducted, make this task laborious. In this scenario, this work presents a model for ubiquitous recommendation of educational content for dynamically created groups of learners, which aims to help teachers to search and to select educational materials taking into consideration the profile of the group and the teaching context. The strategy adopted in this work differs from related work by making the recommendation of educational content considering jointly the profiles of group of learners, the dynamics of group formation and context in which they find themselves. Based on validation scenarios, it was possible to verify the feasibility of the model.

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UbiGroup: A Model of Ubiquitous Recommendation of Content for Dynamic Groups of Learners

Advanced Wireless Communication and Sensor Networks

The traditional method of mental health assessment, usually perfor- med by a psychotherapist, shows relevant rates of inaccuracy. This work pre- sents RevitalMe model, which analyzes the heart rate in order to contribute to the traditional method. The model provides daily information of the individual to psychotherapist, establishing a correlation between the mental health and the places frequented, through context-awareness. The evaluation of the mo- del was performed with the implementation and use of a prototype applied to stress, which presents F1-Score of 88% in classification status of the individual between “stressed” and “not stressed”. The perceived utility of the model is 83% according to 5 psychotherapists.

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Jorge Luis Victória Barbosa

Papers

Distributed Computing Patterns Useful in Big Data Analytics

UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance

UbiGroup: A Model of Ubiquitous Recommendation of Content for Dynamic Groups of Learners

Advanced Wireless Communication and Sensor Networks

Um Modelo Sensı́vel ao Contexto para Avaliação da Saúde Mental por meio da Variabilidade da Frequência Cardı́aca