Moser Silva Fagundes's research while affiliated with Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul and other places

Publications (15)

Conference Paper
Choosing actions within norm-regulated environments involves balancing achieving one’s goals and coping with any penalties for non-compliant behaviour. This choice becomes more complicated in environments where there is uncertainty. In this paper, we address the question of choosing actions in environments where there is uncertainty regarding both...
Article
Choosing actions within norm-regulated environments involves balancing achieving one’s goals and coping with any penalties for non-compliant behaviour. This choice becomes more complicated in environments where there is uncertainty. In this paper, we address the question of choosing actions in environments where there is uncertainty regarding both...
Article
In this paper, we show how the impact of norms on the sequential decision making of agents can be formally modeled, computationally determined and quantitatively assessed. For this purpose, we put forward the Normative Markov Decision Process (NMDP) framework – an extension of Markov Decision Processes (MDPs). NMDPs provide an explicit declarative...
Conference Paper
In heterogeneous multiagent systems, agents might interfere with each other either intentionally or unintentionally, as a side-effect of their activities. One approach to coordinating these agents is to restrict their activities by means of social norms whose compliance ensures certain system properties, or otherwise results in sanctions to violati...
Conference Paper
Plan recognition has been widely used in agents that need to infer which plans are being executed or which activities are being performed by others. In many applications reasoning and acting in response to plan recognition requires time. In such systems, plan recognition is expected to be made not only with precision, but also in a timely fashion....
Article
In this paper we consider the implications of imperfect monitoring in a stochastic environment for both the agents and the normative organisation in a normative MAS. We introduce a notion of information asymmetry to characterise the agents' knowledge of the monitoring strategy, and show that there are potential benefits of information asymmetry for...
Conference Paper
In this paper, we give formal semantics to speech acts for argumentative dialogues in the context of an agent-oriented programming language. Our approach to giving formal semantics to such speech acts uses operational semantics and builds upon existing work that provides computationally grounded semantics for agent mental attitudes such as beliefs...
Conference Paper
In this paper we consider the implications of imperfect monitoring in a stochastic environment for both the agents and the normative organisation in a normative MAS. We introduce a notion of information asymmetry to characterise the agents’ knowledge of the monitoring strategy, and show that there are potential benefits of information asymmetry for...
Chapter
Full-text available
In open dynamic societies, agents are required to work with others that do not necessarily have the same set of objectives. If left unchecked, self-interested agents will try to accomplish their individual goals without regard for others. Norms provide a means to regulate agent behaviour, and this requires some consideration of the ways in which no...
Conference Paper
We aim to help the coordination of the activities of groups of users who share certain tasks. In particular, we are working towards automatically predicting the context of each user, in particular which task each user is trying to accomplish. We also intend to predict how probable it is that users will be able to successfully accomplish theirs task...
Conference Paper
Rational self-interested agents, which act so as to achieve the best expected outcome, should violate the norms if the expected rewards obtained with the defections from the norms surpass the expected rewards obtained by being norm-compliant. It means they should estimate the earnings brought about by the violations and the losses caused by their r...
Conference Paper
This paper presents a model for rational self-interested agents, which takes into account the possibility of violating norms. The transgressions take place when the expected rewards obtained with the defection from the norms surpass the expected rewards obtained by being norm-compliant. To develop such model, we employ Markov Decision Processes (MD...
Conference Paper
Full-text available
In this paper we present an approach to design an Organized Multiagent Systems (OMAS) for teamwork. We use a general formal model for OMAS that employs the notion of organizational mechanisms. The purpose of such mechanisms is influencing the behaviour of the agents towards more effectiveness with regard to some objectives. To achieve our goal we u...
Conference Paper
Full-text available
In the emerging field of m-Health, advanced applications provide healthcare to people anywhere, anytime using broadband and wireless communications, as well as mobile computing devices. The notion of Service-Oriented Multi-Agent Systems (SOMAS) that has recently been proposed appears to adequately capture the requirements of applications in this fi...
Conference Paper
Full-text available
In this paper we present a demonstrator application for a real-world m-Health scenario: mobile medical emergency management in an urban area. Medical emergencies have a high priority given the potential life risk to the patients. And the use of advanced applications that support the different actors involved can improve the usage of appropriate res...

Citations

... Social behavior in the context of RL is usually achieved through inverse reinforcement learning (IRL) algorithms [14], which focus on learning a reward distribution from exemplary behaviors and then use the obtained rewards in ordinary RL settings. RL and normative monitoring are combined when learning policies involves balancing between individual goal rewards and penalties for nonadherent behavior [10]. Another interesting approach in the context of RL safety uses the concept of 'restricting bolts', where learning can be performed to conform as much as possible to specifications in extended temporal logic [7]. ...
... Meanwhile, in non-regimented domains (e.g. Fagundes et al., 2016), some monitoring and sanctioning mechanism is implemented in order to deter agents from violating the norms. ...
... Normally, such application domain has to restrict communication over the mobile network, using an architecture based on personal and server agents, where (i) personal agents are only responsible for collecting user information, sending it to corresponding server -side agents, and to interact with users by means of an interface, and (ii) server agents are responsible for most of the processing, decision-making, and (normally intensive) communication with others users' server agents. Examples of such systems are found in [9,28]. Our approach allows for grouping agents and making them argumentative groups or not, depending on the application needs. ...
... While settings based on these assumptions are a useful abstraction for theoretical work on norm-driven behaviour, when norm-driven agents are meant to either model or mimic rational decision-making behaviour in realistic environments, such as in agent-based simulation [3], they must either be relaxed or dropped entirely [12]. Consider the following example. ...
... La nouveauté de cette approche vient du fait que le SMA ne doit pas en aucun cas supporter des coûts supplémentaires causés par la surcharge de monitoring. Ainsi, les amendes imposées aux agents qui violent les normes ne sont pas considérées inversement à l'idée proposée dans (Fagundes, Ossowski, & Meneguzzi, 2014). ...
... A number of approaches have been proposed to improve plan recognition performance using ideas such as goal graph (Hong, 2001) analysis, pruning heuristics (Yolanda et al., 2015;Vered & Kaminka, 2017;Masters & Sardina, 2017), landmark (Hoffmann et al., 2004) detection (Pereira et al., 2017;Pozanco et al., 2018), and even meta reasoning about the time required to recognize symbolic plans and whether to take an action that could disambiguate plans (Fagundes et al., 2014). Unfortunately, these approaches still have several major drawbacks. ...
... For example,[22,23] propose new performatives for argumentation-based communication between Jason agents. ...
... • Singh [78] • Villatoro et al. [87] Related Work: • Castelfranchi et al. [22] • Bulling and Dastani [19] • Luck et al. [53] Related Work: • Floridi [36] • van de Poel and Royakkers [84] Related Work: • Baldoni et al. [8] Related Work: • Grossi et al. [43] • Norman and Reed [63] Related Work: • Bonnefon et al. [13] • Rahwan [68] Related Work: • Jennings et al. [49] • Rahwan et al. [69] Related Work: • Mercuur et al. [55] • van den Hoven [85] • Johnson et al. [50] Related Work: • Baldoni et al. [9] • Vardi [86] Related Work: • Yazdanpanah and Dastani [89] Related Work: ...
... Multi agent systems (MAS) had a great success in distributed, complex and dynamic problem solving environments, and using autonomous agents provide intelligent decision making capabilities. In this work, prehospital emergency process was analyzed through a comparative review if existing prehospital management systems and frameworks [1,4,5,[15][16][17][18][19][20] the extracted process was modeled using sequence diagram in Rational Rose software. Considering the main system actors and by logically dividing business functionalities, system main agents were identified and modeled via component diagram and finally the conceptual architecture for prehospital emergency management was proposed. ...
... Brotcorne et al. provide a good review of ambulance allocation and redeployment strategies from the early 1970s through 2003 [5]. In practice, few deployed software solutions provide integral support to the assistance process [6], [7], [8]. However, these proposals rely on the availability of accurate and up-to-date information about the state of the ambulance fleet, and can usually not be tailored to the specific needs and preferences of the stakeholders (patients, coordination centres, hospitals and, in particular, ambulance crews). ...