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- Using jason framework to develop a multi-agent system to manage users and spaces in an adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloManage user preferences and local specifications on an IoT adaptive system is a actual problem. This paper uses Jason framework to develop a multi agent system to achieve a Smart Environment System, and supports interaction between persons and physical spaces, that users want to smartly adapt to their preferences in a transparent way. This work proposes a new approach, that has been developed using a multi agent system architecture with different layers to achieve a solution that entails all the proposed objectives. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
- Security constraints on an multi-agent system to manage users and spaces in an adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloAn actual problem on an IoT adaptive systems is to manage user preferences and local actuators specifications. This paper uses a multi agent system to achieve a Smart Environment System, that supports interaction between persons and physical spaces, that users smartly adapt to their preferences in a transparent way. This work proposes also a set of security customization’s to secure the actuators and users on space, that has been developed using a multi agent system architecture with different features to achieve a solution that achieve all the proposed objectives.
- Adaptive system to manage everyday user comfort preferencesPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloUrban mobility brings many challenges and opportunities, particularly regarding sustainability. It is natural that we want better living conditions, we are naturally given to consuming, even when there is no need, we increasingly want to travel, socialize, enjoy and it is not easy to accept that we will most likely have to change. It is no longer a distant future, but the present that we are living. Even in the face of successful solutions, receptivity is far from being massified and in most cases it imposes compromises in terms of comfort and quality of life, sometimes even imposing new habits and ways of being. In addition, not all of us have the same perception of the situation seriousness, or the same willingness to compromise. And this can happen for numerous reasons, namely physical or health limitations, financial limitations, different beliefs/motivations, or different ways of facing problems. It is even common that the staunchest defender of certain solutions, when faced with other equally plausible solutions, is completely insensitive or even opposed. In fact, the same individual may have different needs/preferences relatively to the place where he is or the activity he is performing, that is, preferences that vary with time and place. In a broader context of mobility, in which individuals in their daily lives move and visit different places, often with the presence of more people, the situation is even more complex, the variability of preferences increases, and it is necessary to combine preferences/needs of different individuals. Emerging technologies, within the Internet of Things (IoT) scope and smart spaces [1], allow us to aspire to capable solutions in line with the urban mobility and sustainability demands and, at the same time, to promote better conditions of comfort and well-being, without imposing sacrifices or changes in habits and considering the specificities of each individual, at different time and place. These solutions whose success depends in part on the autonomy of operation, not requiring any direct and conscious participation of people, for the ability to make the best decisions given the current context and future expectations, the context being defined by the characteristics of the environment. Including the dynamics, namely those resulting from the presence/involvement of people, but also for the transparency of action, not being evasive and, if possible, fulfilling its function without people realizing the existence of the technology/solution simply the most convenient happens. There are other factors that should not be neglected, such as those related to security and privacy. In this paper, the authors propose an architecture that considers these requirements so that, in a non-evasive way, it adapts the different spaces that the user frequents (house, work, leisure, others) to their personal preferences, such as temperature, humidity, sound, environment, etc. The architecture includes the different devices needed, to identify users, as well as the communication technologies to be used to transfer the preferences of each user to the system. The architecture includes a multi-agent system that allows managing conflicts of preferences through a user’s hierarchy and that considers safety values for each preference, to safeguard the different actuators (air conditioning, fan coils, multimedia, etc.) present in space. It was developed, focusing on the definition of each user's preferences in a smartphone application, which allows the user's preferences to be transferred to the space, without the need to perform any interaction, they can also be passed through smartwatches, fitness bracelets and similar devices, which currently have different communication technologies such as Bluetooth Low Energy (BLE), Near Field Communication (NFC) or Wifi-Direct. It also contains a local processing solution, currently supported by a Raspberry Pi, and will be present in each space where we want to adapt to different preferences. Each of these systems constantly receives each present user preferences. Based on the multi-agent system, it calculates the optimal preferences to be applied to each space at a given time. It is also responsible for sending these to the different actuators present in the space. The multi-agent system has different layers (simulation, data acquisition, user information, actuation). Briefly, there is an agent for each user present, containing their preferences, and there is an agent that represents the pace, containing eventual constraints, such as security values and others that may exist, namely in public spaces. Each of these agents aims to represent the interests of the involved parties. For example, the agent representing the space should be focused on an efficient use of equipment, minimizing energy costs, enhancing the durability of the equipment, minimizing maintenance costs. Taking advantage of the different hierarchies, an equation was devised that meets the different preferences to define the optimal solution, which will be sent to the different actuators.
- Challenges in smart spaces: aware of users, preferences, behaviours and habitsPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThere are new opportunities for research in the field of smart environments that should be explored. The concepts of smart homes and home automation, are currently in growing expansion in the scientific and research point of view, as the market demands for better solutions in this field. Users want that those spaces smartly adapt to their preferences in a transparent way. This paper describes the process of planning, reasoning and modeling of a Smart Environment, using emerging wearable devices on the market (smart watches, fitness trackers, etc.) and newer technologies like NFC, BLE and Wi-Fi Direct. Enabling the user to optimize the efficiency, comfort, and safety at the environments.
- Multi-agent system to manage users and spaces in a adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThis paper, deals with the current problem of managing user preferences and local specifications in an IoT adaptive system, namely using a multi-agent system to achieve a Smart Environment System. In a new era of interaction between persons and physical spaces, users want those spaces smartly adapt to their preferences in a transparent way. To achieve that, new approaches are needed. The Artificial Intelligence field continues with an exponential growth, especially in the applicability to different sectors. Currently, multi-agent systems have been used to solve diverse situations, particularly in the AmI field, which is characterized by the creation of ubiquitous environments, interconnecting different technologies to perform common tasks of the user’s daily life, autonomously, proactively and independently of the interaction of this. This project proposes also a solution using a multi-agent system, which includes a multi agent system architecture with different layers to achieve a solution that entails all the objectives put forward and later will be implemented and tested.
- Manage ambient comfort preferences and conflicts on a smart environmentPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloManaging comfort preferences conflicts of the different users and locals on an IoT adaptive system is an actual problem, this paper proposes a protocol and hierarchical rules to develop a multi-agent system to achieve a smart environment that supports interaction between persons and physical spaces, where spaces smartly adapt to their preferences in a transparent way. And a set of security customizations to secure the actuators and users on space, that has been developed using a multi-agent system architecture with different features to achieve a solution that support the proposed objectives. This work resulted in the specification of an architecture that supports the solution found, to solve the problem. The agent system model is fully developed. At this stage the agent layer was developed, implemented, and is now in a testing phase. Now it will be tested and validated using real case studies, to gather statistical information to assess its effectiveness and performance. With this work, the specification of constraints for all preferences specifications was achieved. In this way the safety of users and actuators present in space is achieved. Also, the total development of an architecture and respective cognitive model for a Smart Home was achieved, using a multi-agent system with BDI agents, developed using Jason and ARGO. The main objective of this work was to verify the potential that this type of architecture has for the development of ubiquitous multi-agent system using low-cost hardware, such as Raspberry’s.
- A multi-agent system to manage users and spaces in a adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloThis paper, deals with the actual problem of manage user preferences and local speci cations on an IoT adaptive system, namely using a multi agent system to achieve a Smart Environment System. On a new era of interaction between persons and physical spaces, users want those spaces smartly adapt to their preferences in a transparent way. To achieve that, new approaches are needed. In this project we develop a multi agent system architecture with di erent layers to achieve a solution that entails all the proposed objectives.
- Adaptive environment system to manage comfort preferences and conflictsPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloManaging comfort preferences conflicts of the different users and locals on an Internet of Things (IoT) adaptive system is a actual problem. This paper, proposes a protocol and hierarchical rules to develop a multi-agent system to achieve an Adaptive Environment System that supports interaction between persons and physical spaces, where spaces smartly adapt to their preferences in a transparent way. And also a set of security customization’s to secure the actuators and users on space, that has been developed using a multi agent system architecture with different features to achieve a solution that supports the proposed objectives. Supported by a base architecture to achieve the full system implementation.
- Adaptive system to manage user comfort preferences and conflicts at everyday environmentsPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloNowadays an actual problem on IoT adaptive systems is to manage user preferences and local actuators specifications. This paper uses a multi agent system to achieve a Adaptive Environment System, that supports interaction between persons and physical spaces, where spaces smartly adapt to their user preferences in a transparent way. This work has been developed using a multi agent system architecture with different features to achieve a solution that reach all the proposed objectives.
- Manage users and spaces security constraints on a multi-agent system in a adaptive environment systemPublication . Oliveira, Pedro Filipe; Novais, Paulo; Matos, PauloNowadays managing user preferences and local actuators specifications is an actual problem on IoT adaptive systems. This paper proposes a multi-agent system to achieve a Smart Environment System, that manages the interaction between persons and physical spaces, where spaces smartly adapt to user preferences in a transparent way. With this work, we also propose a set of security customization to secure actuators and users present in managed spaces, that has been developed using a multi-agent system architecture with different features to achieve a solution to support all proposed objectives.