V. Botti

Universitat Politècnica de València | UPV · Department of Computer Systems and Computation

This paper addresses understanding and categorizing language by using Markov categories to establish a mathematical framework for semantic concepts. This framework enables us to measure the semantic similarity between linguistic expressions within a given text. Furthermore, this approach enables the measurement and control of uncertainty in languag...

Assessing patient risk or degree of vulnerability is crucial for effective nursing care, resource allocation and prevention of complications and adverse events. A scale-based system evaluates hospitalised patients, capturing their status across domains by aggregating and weighting scale scores. Currently, in most hospitals, nurses manually interpre...

Convolutional Neural Networks (CNNs) have become ubiquitous in many NLP tasks. However, understanding its process is still an area with much to be done. In this paper, we introduce a method to study the interpretability of CNNs when used for text classification. More specifically, we work on the interpretability of the convolutional filters in the...

Emotion regulation is the human ability to modulate one’s or other emotions to maintain emotional well-being. Despite its importance, only a few computational models have been proposed for facilitating emotion regulation. None of them prepare a plan of all the actions necessary for emotion regulation customized to the needs of a specific individual...

Explainable Artificial Intelligence (XAI) is a growing field that aims to increase the transparency and interpretability of machine learning models. The aim of this work is to use the categorical properties of learning algorithms in conjunction with the categorical perspective of the information in the datasets to give a framework for explainabilit...

Emissions from urban traffic pose a significant problem affecting the quality of cities. The high volume of vehicles moving through urban areas leads to a substantial amount of emissions. However, the waiting time of vehicles at traffic lights results in wasted emissions. Therefore, efficient coordination of traffic lights would help reduce vehicle...

Teamwork is essential in many industries to tackle complex projects. Thus, the development of teamwork skills is crucial in higher education. In the classroom, the formation of teams must be fostered throughout all phases to promote the development of these skills. Several criteria for forming teams in the classroom have been proposed, including Be...

Teaching Artificial Intelligence in higher education develops critical thinking, problem-solving, and computational skills. Negotiation is a crucial aspect of multi-agent systems, enabling agents to achieve their goals through communication and collaboration. In this area, simulation platforms provide a flexible and safe way to experiment, leading...

Social isolation is a problem that affects more and more elderly people. Their limited social contact and low autonomy make it difficult for them to access the attention and care they need and deserve. This often results in a progressive deterioration of their physical and cognitive health. In this paper, we propose an agent model to monitor and pr...

Emotion regulation is an important aspect of emotional well-being that involves effectively managing and modifying one’s or other emotions. However, there is a lack of computational models to guide the design and implementation of emotion regulation by intelligent agents. To address this gap, we propose a computational model for an intelligent agen...

Multi-agent systems (MAS) are a class of systems in which multiple agents interact with each other and their environment to achieve a common or individual goal [...]

Sexually transmitted infections (STIs) are serious health problems worldwide, increasing the risk of infection by Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS). Despite the significant efforts to address the pandemic, especially with sex education programs, STI and HIV remain a significant concern. Meanwhile, convers...

In this work, we proposed a new interpretability framework for convolutional neural networks trained for text classification. The objective is to discover the interpretability of the convolutional layers that composes the architecture. The methodology introduced explores the most relevant words for the classification and more generally look for the...

In this paper, we present e-Genia3 an extension of AgentSpeak to provide support to the development of empathic agents. The new extension modifies the agent's reasoning processes to select plans according to the analyzed event and the affective state and personality of the agent. In addition, our proposal allows a software agent to simulate the dis...

The links between emotions and rationality have been extensively studied and discussed. Several computational approaches have also been proposed to model these links. However, is it possible to build generic computational approaches and languages so that they can be “adapted” when a specific affective phenomenon is being modeled? Would these approa...

The use of frequency tensors for the representation of discrete time series information through wavelet transformations offers a methodology that allows the application of classification methods that result in the detection of mobility patterns in a geographical area. The use case focuses on a territory from which the geolocation of anonymized mobi...

Electric vehicles are one of the strongest ways for society to stop contributing to greenhouse gas emissions. However, for their use to become regular, a good infrastructure of charging stations is needed, allowing a similar convenience to that offered by fossil fuel stations. Our work approaches the location of charging stations to create a nation...

This paper describes a new approach of a previously presented hybrid learning recommender system based on content-based techniques, which was capable of recommend useful videos to learners and lecturers from a learning video repository. In this new approach, the content-based techniques are also combined with a collaborative filtering module, which...

With the arises of Industry 4.0, numerous concepts have emerged, one of the main concepts is the Digital Twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature, the understanding of the concept and its functioning can be diuse. The main goal of this paper is to provide a review of the existing lit...

The electric vehicle (EV) is gradually being introduced in cities. The impact of this introduction is less due, among other reasons, to the lack of charging infrastructure necessary to satisfy the demand. In today’s cities there is no adequate infrastructure and it is necessary to have action plans that allow an easy deployment of a network of EV c...

One of the main challenges in affective computing is the development of models to represent the information that is inherent to emotions. It is necessary to consider that the terms used by humans to name emotions depend on the culture and language used. This paper presents an experiment-based method to represent and adapt emotion terms to different...

Human social relationships imply conforming to the norms, behaviors and cultural values of the society, but also socialization of emotions, to learn how to interpret and show them. In multiagent systems, much progress has been made in the analysis and interpretation of both emotions and norms. Nonetheless, the relationship between emotions and norm...

Humans use rather vague and imprecise words to express emotions. Therefore, fuzzy logic allows computational affective models to use emotions in the same way that human beings express them. However, people from different cultures and languages assign different meanings to the same emotion word. Unfortunately, there are still no affective computing...

The recognition of emotions in tone voice is currently a tool with a high potential when it comes to making recommendations, since it allows to personalize recommendations using the mood of the users as information. However, recognizing emotions using tone of voice is a complex task since it is necessary to pre-process the signal and subsequently r...

New teaching approaches are emerging in higher education, such as flipped classrooms. In addition, academic institutions are offering new types of training like Massive Online Open Courses. Both of these new ways of education require high-quality learning objects for their success, with learning videos being the most common to provide theoretical c...

The deployment of a charging infrastructure to cover the increasing demand of electric vehicles (EVs) has become a crucial problem in smart cities. Additionally, the penetration of the EV will increase once the users can have enough charging stations. In this work, we tackle the problem of locating a set of charging stations in a smart city conside...

Recent advances in the development of technological devices and software for Industry 4.0 have pushed a change in the maintenance management systems and processes. Nowadays, in order to maintain a company competitive, a computerised management system is required to help in its maintenance tasks. This paper presents an analysis of the complexities a...

Optimized urban logistics is an important issue for rapidly growing cities worldwide. Many criteria can be optimized in order to improve the performance of urban logistics. Economic and time dependent criteria are central but not the only ones; lately, sustainable criteria are becoming key and urgent due to new regulations and environmental concern...

In non-cooperative multi-agent planning environments, it is essential to have a system that enables the agents’ strategic behavior. It is also important to consider all planning phases, i.e., goal allocation, strategic planning, and plan execution, in order to solve a complete problem. Currently, we have no evidence of the existence of any framewor...

In this work, a methodology for applying semantic-based padding in Convolutional Neural Networks for Natural Language Processing tasks is proposed. Semantic-based padding takes advantage of the unused space required for having a fixed-size input matrix in a Convolutional Network effectively, using words present in the sentence. The methodology prop...

This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ‘Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future’ organized by Universitat Politècnica de València, Spain, and held on October 3–4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digita...

This paper presents the EMiR robot, which is based on the RobElf robotic platform. EMiR has been developed as a cognitive assistant robot which is able to detect and to classify the emotional state of the human with whom it interacts. Moreover, EMiR integrates a powerful recommendation module that allows the robot to suggest activities to be done b...

The creation of a suitable charging infrastructure for electric vehicles (EV) is one of the main challenges to increase the adoption of this new vehicle technologies. In this article, we present a Multi-Agent System (MAS) that performs an analysis of a set of possible configurations for the location of EV charging stations in a city. To estimate th...

With the current advance of technology, agent-based applications are becoming a standard in a great variety of domains such as e-commerce, logistics, supply chain management, telecommunications, healthcare, and manufacturing. Another reason for the widespread interest in multi-agent systems is that these systems are seen as a technology and a tool...

Interest in affective computing is increasing in recent years. Different emotional approaches have been devel- oped to incorporate emotions in multi-agent systems. However, most of these models do not offer an adequate representation of emotions. An internal representation of emotions allows to define emotions according to different affective varia...

Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of...

Electric vehicles are already a reality in many cities around the world. However, the penetration of the electric vehicle depends on several factors, including the existence of an adequate network of charging stations. This article aims to address this problem by defining a multi-agent system (MAS) that collects information about the state of a cit...

If last decade viewed computational services as a utilitythen surely this decade has transformed computation into a commodity. Computation is now progressively integrated into the physical networks in a seamless way that enables cyber-physical systems (CPS) and the Internet of Things (IoT) meet their latency requirements. Similar to the concept of...

One of the main current challenges of electric vehicles (EVs) is the creation of a reliable, accessible and comfortable charging infrastructure for citizens in order to enhance demand. In this paper, a multi-agent system (MAS) is proposed to facilitate the analysis of different placement configurations for EV charging stations. The proposed MAS int...

Most people’s choices, including economic ones, are largely based on normative-affective considerations, not only with regard to the selection of goals but also of means. However, although emotions are inherent in human behaviour, and they are also relevant when dealing with the decision making processes, the relationship between norms and emotions...

In this work a reverse production process is conceived as a service-based manufacturing network (ecosystem), in which the manufacturing companies “play” in the ecosystem by means of market services. One complex problem in a reverse logistic virtual market is the efficient composition and decomposition of the negotiation items. A negotiation item is...

Social media have played a relevant role in facilitating communication and coordination among people. Digital traces generated by users in social media sites provides a promising source of data for use in different contexts. The avast amount of data contains information not only about the content of the message but also about who generated the info...

This paper provides a way to solve the problem of localization in mobile robots using a MAS approach. Typically, the robot localization has been resolved in static environments by adding sensors that help the robot, but this is not useful in dynamic environments where the robot moves through different rooms or areas. The novelty of this dynamic sce...

The number of people and organizations using online social networks as a new way of communication is continually increasing. Messages that users write in networks and their interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary systems that collect...

Multi-agent system paradigm has been envisioned as an appropriate solution for challenges in the area of smart-environments. Specifically, MAS add new capabilities such as adaption, reorganization, learning, coordination, etc. These features allow to deal with open issues in the context of smart-homes such as multi-occupancy, activity tracking or p...

This article provides an overview of different multiagent environments that require the application of planning techniques. The main techniques and approaches to multiagent planning (MAP) existing in the literature as well as the coordination mechanisms used by the agents are presented. The content of the article is organized around two types of mu...

In this paper, we define two strategies for crowdsourcing systems to encourage users to participate at a cost that is close to the optimal cost for the system. In the scenario considered, the system has temporal constraints and potential participants have dynamic behaviors related to the expected rewards (i.e., users’ expected rewards in exchange o...

In this paper, we deal with the problem of real-time coordination with the more general approach of reaching real-time agreements in MAS. Concretely, this work proposes a real-time argumentation framework in an attempt to provide agents with the ability of engaging in argumentative dialogues and come with a solution for their underlying agreement p...

This chapter presents the ROMAS development framework that offers support for the application of the ROMAS methodology. This framework has been implemented using model-driven technology to integrate the analysis, design, verification, and code generation of normative open MAS.

This chapter analyzes the usability and benefits of using the ROMAS methodology by means of the analysis of the results when developing different case studies with ROMAS.

In this chapter, we try to answer the research question: Which are the common requirements for developing normative open MAS?.

This chapter analyzes to what extent the ROMAS approach supports the development of normative open MAS

In this chapter, we attempt to answer the research question: “To what extent current AOSE methodologies support the development of normative open MAS?”.

This section details the ROMAS metamodel elements, relationships and structure.

New systems can be designed, developed, and managed as societies of agents that interact with each other by offering and providing services. These systems can be viewed as complex networks where nodes are bounded rational agents. In order to deal with complex goals, they require cooperation of the other agents to be able to locate the required serv...

This book constitutes the refereed proceedings of the workshops which complemented the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2015, held in Salamanca, Spain, in June 2015. The36 revised full papers presented were carefully reviewed and selected from91 submissions. This volume presents the pa...

This volume presents the papers that have been accepted for the 2015 special sessions of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, held at University of Salamanca, Spain, at 3rd-5th June, 2015: Agents Behaviours and Artificial Markets (ABAM); Agents and Mobile Devices (AM); Multi-Agent Systems an...

Smart-homes will play an important role in the near future improving living conditions for people. In this paper, we present the application of a multi-agent platform Magentix2 for the development of MAS in smart-homes. The use of Magentix2 platform facilitates the management of the multiple occupancy in smart living spaces. Virtual organizations p...

The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary to use systems that col...

The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. Thanks to this fact and the use of network theory, the analysis of messages, user interactions, and the comple...

There is an increasing interest on developing virtual enterprises in order to deal with the globalisation of the economy, the rapid growth of information technologies and the increase of competitiveness. In this paper we deal with the development of normative open virtual enterprises (NOVEs). They are systems with a global objective that are compos...

Self-organization and cooperation of agents in open societies play an important role in the success of the service discovery process. Self-organization allows agents to deal with dynamic requirements in service demand. Moreover, in distributed environments where service discovery is carried out by agents that only have a partial view of the system,...

New technologies are revolutionizing the way manufacturing and sup-ply chain management are implemented. The convergence of Internet and manufacturing systems provides the basis for the creation of a new generation of computing solutions that can dramatically improve the responsiveness of organizations to better communicate with their customer and...

The database of prospective zeolites (www.hypotheticalzeolites.net) has been screened in search of feasible zeolites. Previous criteria of zeolite feasibility have been reviewed, based on descriptors such as energy, density, average and distribution of ring sizes, and more importantly that of Li et al. (LID criteria) presented recently [Angew. Chem...

When designing agents to simulate human behavior, the incorporation of personality, emotions and mood into the agent reasoning process provides the agent with a closer to human behavior. We have designed an Open Affective Agent Architecture (O3A) based on widely accepted psychological theories. O3A offers a flexible way of integrating the affective...

Addressing the open problem of engineering normative open systems using the multi-agent paradigm, normative open systems are explained as systems in which heterogeneous and autonomous entities and institutions coexist in a complex social and legal framework that can evolve to address the different and often conflicting objectives of the many stakeh...

Experimental economics has many works that demonstrate the influence of emotions and affective issues on the process of human strategic decision making. Personality, emotions and mood produce biases on what would be considered the strategic solution (Nash equilibrium) to many games. Thus considering these issues on simulations of human behavior may...

As is presented in the previous chapter, current approaches for developing normative open MAS do not completely support the analysis and design of these kinds of systems. In this chapter, we present the ROMAS approach that deals with some of the open issues in this topic.

The behaviour of norm-autonomous agents is determined by their goals and the norms that are explicitly represented inside their minds. Thus, they require mechanisms for acquiring and accepting norms, determining when norms are relevant to their case, and making decisions about norm compliance. Up until now the existing proposals on norm-autonomous...

This paper presents a basic neuro-­‐experiment to explore the possibility of the application of EEG-­‐based biomarkers to analyze emotional response to the ultimatum game. Using a basic EEG registration tool (Emotiv EPOC technology), the paper presents two EEG-­‐based biomarkers (F8-­‐EP and ALPHA8-­‐AP) obtained from an evoked potential and accumu...

The manufacturing field is an area where the application of simulation is an essential tool for validating methods and architectures before applying them on the factory floor. Despite the fact that there are a great number of simulation tools, most of them do not take into account the specific requirements of the “new manufacturing era” such as dis...

Decentralized systems have emerged as an alternative to centralized approaches for dealing with dynamic requirements in new business models. These systems should provide mechanisms that contribute to flexibility and facilitate adaptation to changes in the environment. In this paper, we present two self-organization mechanisms for a decentralized se...

Besides the simpler ability to interact, open multi-agent systems must include mechanisms for their agents to reach agreements by taking into account their social context. Argumentation provides multi-agent systems with a framework that assures a rational communication, which allows agents to reach agreements when conflicts of opinion arise. In thi...

In open multi-agent systems, agents can enter or leave the system, interact, form societies, and have dependency relations with each other. In these systems, when agents have to collaborate or coordinate their activities to achieve their objectives, their different interests and preferences can come into conflict. Argumentation is a powerful techni...