Carlos Carrascosa

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

Over the last few years, several studies have appeared that employ Artificial Intelligence (AI) techniques to improve sustainable development in the agricultural sector. Specifically, these intelligent techniques provide mechanisms and procedures to facilitate decision-making in the agri-food industry. One of the application areas has been the auto...

Over the years, multi-agent systems (MAS) technologies have shown their usefulness in creating distributed applications focused on autonomous intelligent processes. For this purpose, many frameworks for supporting multi-agent systems have been developed, normally oriented towards a particular type of agent architecture (e.g., reactive or deliberati...

The use of robot assistants and companion robots has been shown to improve the well-being of the elderly, enabling them to improve their quality of life. Nowadays, many older people live alone and do not have the resources to acquire specialized systems to monitor and accompany them. But at the same time, they are under the supervision of specializ...

For some years now, multi-agent systems have demonstrated their potential to be used as a base technology to address the development of distributed, intelligent and autonomous systems. However, existing agent platforms still require a higher degree of flexibility in order to effectively combine decision-making processes into the same system. In thi...

One of the main advancements in distributed learning may be the idea behind Google’s Federated Learning (FL) algorithm. It allows a distributed deep learning process being made by different units while maintaining the privacy of the data used by each one of these units to train their model. This idea perfectly fits a Multi-Agent System, where the u...

Over the last few years, there have been many technological approaches whose application domain is rural areas to provide more advanced services to environments of this kind. In the agricultural environment, several proposals mainly try to develop crop management systems based on the spatial and temporal variability of different factors within a cr...

Since the emergence of the Internet of Things (IoT), the Multi-Agent Systems (MAS) technology has proved to be a valid paradigm to facilitate the development of distributed, intelligent applications for heterogeneous sets of IoT devices. However, current MAS lack effective mechanisms to systematically integrate the enormous diversity of IoT devices...

The use of cognitive assistants has grown significantly in recent years. The recent appearance of advanced devices for the detection and monitoring of a wide range of physical tasks has allowed a great advancement in the development of environments that facilitate the well-being of people, particularly the elderly. In this sense, this paper propose...

In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a model and shares only model parameters, such as weights, and does not share the training data set, which favors aspects such as security...

The Internet of Things (IoT) is a growing computational paradigm where all kinds of everyday objects are interconnected, forming a vast cyberphysical environment at the edge between the virtual and the real world. Since the emergence of the IoT, Multi-Agent Systems (MAS) technology has been successfully applied in this area, proving itself to be an...

In this paper we present a platform composed of a low-cost robot and a multi-agent system that uses deep learning algorithms, whose objective is to establish a negotiation process and persuasively sell items, maximising their price, thus gain. To do this, we have focused on developing an interactive process that is able to interact with humans usin...

The emergence of the COVID-19 virus has placed the planet before one of the worst pandemics in 100 years. Early detection of the virus and vaccination have become the main weapons in the fight against the virus. In terms of detection, numerous alternatives have been proposed over the last one and a half years, including the use of artificial intell...

In this paper we present a platform composed of a low-cost robot and a multi-agent system that uses deep learning algorithms, whose objective is to establish a negotiation process and persuasively sell items, maximising their price, thus gain. To this, we have focused on developing an interactive process that is able to interact with humans using a...

Monitoring wellbeing and stress is one of the problems covered by ambient intelligence, as stress is a significant cause of human illnesses directly affecting our emotional state. The primary aim was to propose a deliberation architecture for an ambient intelligence healthcare application. The architecture provides a plan for comforting stressed se...

The rapid spread of COVID-19 has demonstrated the need for accurate information to contain its spread. Technological solutions are a complement that can help citizens to be informed about the risk in their environment. Although measures such as contact traceability have been successful in some countries, their use raises some societal concerns.

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it...

The paper is concerned with the consensus problem in a multi-agent system such that each agent has boundary constraints. Classical Olfati-Saber’s consensus algorithm converges to the same value of the consensus variable, and all the agents reach the same value. These algorithms find an equality solution . However, what happens when this equality so...

The practice of physical exercise by older people has been proven to have very beneficial effects such as reducing pain and disability and improves quality of life. Today, many older people live alone or do not have the resources to have dedicated coaches or caregivers. Automatic monitoring and control of physical exercise in older people is a key...

Deep learning is being introduced more and more in our society. Nowadays, there are very few applications that do not use deep learning as a classification tool. One of the main application areas is focused on improving people’s life quality, allowing to create personal assistants with canned benefits. More recently, with the proliferation of mobil...

This work proposes an innovative solution in the field of Edge AI in order to efficiently exploit new hardware components available on the market at low cost. Edge AI means that algorithms are processed locally on a hardware device. The algorithms use data (sensor data or signals) that are created on the own device. The idea of this paper focuses o...

In recent years, cities and especially urban mobility have undergone remarkable changes. Significant advances in technology have been translated into new mobility services for both goods and people. One evident change has been the transformation of traditional vehicle fleets into more open fleets, in the sense that their members can proactively dec...

In this paper, we present in depth the hardware components of a low-cost cognitive assistant. The aim is to detect the performance and the emotional state that elderly people present when performing exercises. Physical and cognitive exercises are a proven way of keeping elderly people active, healthy, and happy. Our goal is to bring to people that...

Recent studies show that the elderly population has increased considerably in European society in recent years. This fact has led the European Union and many countries to propose new policies for caring services directed to this group. The current trend is to promote the care of the elderly in their own homes, thus avoiding inverting resources on r...

The elderly population has increased dramatically in today’s society. This fact implies the need to propose new policies of attention to this group but without increasing social spending. Currently, there is a need to promote the care of elderly people in their own homes, avoiding being transferred to saturated residences. Bearing this in mind, in...

Recently, artificial intelligence, has emerged as a new source of scientific works in conflict resolution. The interest in conflict resolution lies in diverse reasons. One of the main reasons is that computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities should include computational conflict resolut...

Although intelligent agent-based systems have existed for several years, the progression in terms of real applications or their integration in the industry have not yet reached the expected levels. During the last two decades, many agent platforms have appeared with the aim of simplifying the development of multi-agent systems. Some of these platfo...

The use of robots in the environment of the elderly has grown significantly in recent years. The idea is to try to increase the comfort and well-being of older people through the employment of some kind of automated processes that simplify daily work. In this paper we present a prototype of a personal robotic trainer which, together with a non-inva...

An intelligent virtual environment simulates a physical world inhabited by autonomous intelligent entities. Multi-agent systems have been usually employed to design systems of this kind. One of the key aspects in the design of intelligent virtual environments is the use of appropriate ontologies which offer a richer and more expressive representati...

The development of robots that are truly sociable requires understanding how human interactions can be applied to the interaction between humans and robots. A sociable robot must be able to interact with people taking into account aspects like verbal and non-verbal communications (emotions, postures, gestures). This work presents a social robot whi...

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...

Mobility in the urban environment has undergone notable changes in recent years. The mobility of people or goods has been adapting to new technologies, emerging new mobility services for the potential users. In this sense, traditional vehicle fleets in a city are being transformed into more open fleets where their members can proactively decide whe...

The analytical hierarchical process (AHP) is a multi-criteria, decision-making process. This work presents a method to be applied in group decisions (GAHP) using a combination of consensus process and gradient ascent to reach a joint agreement. The GAHP problem is modeled through a multilayer network, where each one of the criteria is negotiated by...

The increase in the elderly population in today’s society entails the need for new policies to maintain an adequate level of care without excessively increasing social spending. One of the possible options is to promote home care for the elderly. In this sense, this paper introduces a personal assistant designed to help elderly people in their acti...

This work proposes the application of consensus processes to ensure the consistency of the data stored in distributed ledgers. Consensus allows a group of agents to reach agreements about the value of common variables or, in this case, data structures such as Merkle trees or chains of blocks. Nevertheless, the consensus algorithm requires for all t...

Multiagent systems (MASs) courses are nowadays present in most master's degrees in Artificial Intelligence. In such courses, students have to cope with the gap between some high‐level theoretical concepts and techniques that allow agents to reach agreements in order successfully cooperate (the so‐called Agreement Technologies) and their correspondi...

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...

Over the last few years, research on computational intelligence is being conducted to detect emotional states of people. This paper proposes the use of intelligent wristbands for the automatic detection of emotional states to develop an application which allows to monitor older people in order to improve their quality of life. The paper describes t...

Current research on computational intelligence is being conducted in order to emulate and/or detect emotional states using specific devices such as wristbands or similar wearables. In this sense, this paper proposes the use of intelligent wristbands for the automatic detection of emotional states in order to develop an application which allows us t...

Nowadays, the need of Intelligent Transportation Systems software tools and services for Sustainable Transportation is urgent. This paper proposes an ontology specially tailored for Intelligent Transportation System characterization. The main features of the proposed ontology is the ability to incorporate sustainable variables when characterizing a...

This paper presents the Emotional Smart Wristband and its integration with the iGenda. The aim is to detect emotional states of a group of entities through the wristband and send the social emotion value to the iGenda so it may change the home environment and notify the caregivers. This project is advantageous to communities of elderly people, like...

The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus cre...

This paper proposes a crowdsourcing approach that deals with the problem of Last Mile Delivery (LMD). The proposed approach is supported by Multi Agent System (MAS) techniques and makes use of a crowd of citizens that are moving in an urban area for their own needs. The idea is to employ those citizens to deliver parcels on their way to their desti...

Nowadays, there is a need to provide new applications which allow the definition and implementation of safe environments that attends to the user needs and increases their wellbeing. In this sense, this paper introduces the EJaCalIVE framework which allows the creation of emotional virtual environments that incorporate agents, eHealth related devic...

This paper presents a framework specially designed for the execution and adaptation of Intelligent Virtual Environments. This framework, called JaCalIVE, facilitates the development of this kind of environments managing in an efficient and realistic way the evolution of parameters for the adaptation of the physical world. The framework includes a d...

The analytical hierarchical process (AHP) is a multi-criteria, decision-making process that has demonstrated to be of a high utility to achieve complex decisions. This work presents a method to apply it in grupal decisions, where the weights that each user assigns to the criteria are different and private. A combination of consensus process and gra...

This paper presents a first approximation to the simulation of vascular smooth muscle cell following an agent-based simulation approach. This simulation incorporates mathematical models that describe the behaviour of these cells, which are used by the agents in order to emulate vascular contraction. A first tool, implemented in Netlogo, is provided...

This article presents EJaCalIVE as a possible tool for the design of Emotional Intelligent Virtual Environments (EIVE). This article presents a practical case, in which real robots are integrated with virtual entities. In order to train an assistance robot. In the simulation, each one of the virtual entities communicates emotions to the robot, whic...

This paper presents the development of a dynamic emotional model to be employed in agent societies. The proposed model is based on the PAD emotional model and allows the representation of the emotional contagion phenomena of a heterogeneous group of agents that are capable of express emotions. The model is mainly based on three elements: personalit...

Current techniques for intelligent computing based on Multi-Agent Systems and Agreement Technologies can improve the management and control of transport fleets, both for human or goods mobility, in an urban environment. These technologies can offer services to users that are globally optimized and adapted to the changing needs and demands, but also...

This article proposes an application of a social emotional model, which allows to extract, analyse, represent and manage the social emotion of a group of entities. Specifically, the application is based on how music can influence in a positive or negative way over emotional states. The proposed approach employs the JaCalIVE framework, which facilit...

This paper presents a proposal for a Smart Transport System which is an application that facilitates the interconnection between people (citizens, tourists) and transport providers (Bus, metro, trains, trams), defining the services that everyone can request or offer. The system has been defined as a virtual organization where agents (representing a...

The purpose of this paper is to present an emotional-based application for human-agent societies. This kind of applications are those where virtual agents and humans coexist and interact transparently into a fully integrated environment. Specifically, the paper presents an application where humans are immersed into a system that extracts and analyz...

This paper proposes the use of intelligent wristbands for the automatic detection of emotional states in order to develop an application which allows to extract, analyze, represent and manage the social emotion of a group of entities. Nowadays, the detection of the joined emotion of an heterogeneous group of people is still an open issue. Most of t...

This paper presents an approach of a social emotional model, which allows to extract the social emotion of a group of intelligent entities. The emotional model PAD allows to represent the emotion of an intelligent entity in 3-D space, allowing the representation of different emotional states. The social emotional model presented in this paper uses...

In this paper we present some theoretical results about the irreducibility of the Laplacian matrix ordered by the Reverse Cuthill-McKee (RCM) algorithm. We consider undirected graphs with no loops consisting of some connected components. RCM is a well-known scheme for numbering the nodes of a network in such a way that the corresponding adjacency m...

Over the last few years educators have increasingly incorporated game simulations into higher education computer science curricula. Experiences have proved that students respond enthusiastically to these courses. According to this, this paper presents an evolved version of the JGOMAS simulator, which is a simulation game where students design and i...

This paper presents a first approximation of a dynamic emotional model to be employed in agent societies. The proposed model is based on the PAD emotional model and allows the representation of the emotional contagion phenomena of a heterogeneous group of agents which are capable of express emotions. Moreover, the proposal allows the definition of...

The analytical hierarchical process (AHP) is a multi-criteria, decision-making process that has demonstrated to be of a high utility to achieve complex decisions. This work presents a method to apply it in grupal decisions, where the weights that each user assigns to the criteria are different and private. A combination of consensus process and gra...

Recently, artificial intelligence, has emerged as a new source of scientific works in conflict resolution. The interest in conflict resolution lies in diverse reasons. One of the main reasons is that computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities should include computational conflict resolut...

Human-agent societies refer to applications where virtual agents and humans coexist and interact transparently into a fully integrated environment. One of the most important aspects in this kind of applications is including emotional states of the agents (humans or not) in the decision-making process. In this sense, this paper presents the applicab...

This paper presents the extension of a meta-model (MAM5) and a framework based on the model (JaCalIVE) for developing intelligent virtual environments. The goal of this extension is to develop augmented mirror worlds that represent a real and virtual world coupled, so that the virtual world not only reflects the real one, but also complements it. A...

This paper presents a development process for intelligent virtual environments (IVEs) considering the immersion of real objects and human beings in virtual simulations. This development process includes a meta-model for designing, a set of tools to facilitate the implementation and a simulation platform. The paper presents a case study that makes u...

This article aims to give an approach of a dynamic and emotional propagation, which allows to calculate the propagation of the emotion of a group of humans and/or intelligent entities. The dynamic model is based on the Newton laws in order to calculate the emotional attraction among them. To obtain the emotions we use a NAO robot as a tool to move...

This article proposes an application of a social emotional model, which allows to extract, analyze, represent and manage the social emotion of a group of entities. Specifically, the application is based on how music can influence in a positive or negative way over emotional states. The proposed approach employs the JaCalIVE framework, which facilit...

Recently, artificial intelligence, has emerged as a new source of scientific works in conflict resolution. The interest in conflict resolution lies in diverse reasons. One of the main reasons is that computational systems have gradually shifted towards a distributed paradigm where heterogeneous entities should include computational conflict resolut...

Ten years ago, researchers in multi-agent systems became more and more aware that agent systems consist of more than only agents. The series of workshops on Environments for Multi-Agent Systems (E4MAS 2004-2006) emerged from this awareness. One of the primary outcomes of this endeavor was a principled understanding that the agent environment should...

Interfacing the agents with their environment is a classical problem when designing multiagent systems. However, the models pertaining to this interface generally choose to either embed it in the agents, or in the environment. In this position paper, we propose to highlight the role of agent bodies as primary components of the multiagent system des...

The purpose of this paper is to present an emotional-based application for human-agent societies. This kind of applications are those where virtual agents and humans coexist and interact transparently into a fully integrated environment. Specifically, the paper presents an application where humans are immersed into a system that extracts and analyz...

This article aims to give an approach of a social emotional model, which allows to extract, calculate, represent and manage the social emotion of a group of intelligent entities. The emotional model is based on the PAD model allowing the representation of the emotion of a group of intelligent entities in a 3-D space. The social emotional model pres...

The purpose of this paper is to present the applicability of the JaCalIV E framework for developing human-agent societies. This kind of applications are those where virtual agents and humans coexist and interact transparently into a fully integrated environment. Specifically, the paper presents an ambient intelligence application where humans are i...

This article aims to give a first approach of an emotional model, which allows to extract the social emotion of a group of intelligent entities. The emotional model PAD allows to represent the emotion of an intelligent entity in 3-D space, allowing the representation of different emotional states. The social emotional model presented in this paper...

If a set of agents tries to reach an agreement, there will exist an Agreement Space that models the maximum valid space according to the individual constraints of each agent, regarding the terms of the agreement. Previous approaches to Agreement Spaces model them by means of a Counsellor Agent that will help to agents trying to obtain an agreement...

Currently, there are many intelligent agent models that provide a number of components or abstractions to solve different types of problems. However, few of them provide abstractions or concepts that allow considering how to deal with complex dynamic environments (an environment that changes continuously in terms of available resources, global beha...