Ontological Smart Contracts in OASIS: Ontology for Agents, Systems, and Integration of Services

In this contribution we extend an ontology for modelling agents and their interactions, called Ontology for Agents, Systems, and Integration of Services (in short, OASIS), with conditionals and ontological smart contracts (in short, OSCs). OSCs are ontological representations of smart contracts that allow to establish responsibilities and authorizations among agents and set agreements, whereas conditionals allow one to restrict and limit agent interactions, define activation mechanisms that trigger agent actions, and define constraints and contract terms on OSCs. Conditionals and OSCs, as defined in OASIS, are applied to extend with ontological capabilities digital public ledgers such as the blockchain and smart contracts implemented on it. We will also sketch the architecture of a framework based on the OASIS definition of OSCs that exploits the Ethereum platform and the Interplanetary File System.Comment: This work has been accepted for publication at The 14th International Symposium on Intelligent Distributed Computing, 21--23 September 2020, Scilla, Reggio Calabria, Italy. Proceedings and conference have been postponed to September 2021. Paper accepted on 8 September 202

Decision Process in Human-Agent Interaction: Extending Jason Reasoning Cycle

The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a dynamic variable not easily manageable during design phases. Design and implementation of this type of systems highlight the problem of making the system able to decide in autonomy. In this work we propose an implementation, based on Jason, of a cognitive architecture whose modules allow structuring the decision-making process by the internal states of the agents, thus combining aspects of self-modeling and theory of the min

Historical Ecology, Archaeology and Biocultural Landscapes: Cross-Disciplinary Approaches to the Long Anthropocene

This book collects a series of interdisciplinary contributions about Historical Ecology, Archeology and Biocultural Landscapes focused on the analysis of landscape dynamics during the Long Anthropocene. Through case studies across Europe, the Mediterranean, Asia and America, the volume offers a series of examples of approaches and applications to combine and stimulate an interdisciplinary debate between Natural Science and Humanities for understanding long-term human–environment interaction and historical sustainability

From Agents to Blockchain: Stairway to Integration

The blockchain concept and technology are impacting many different research and application fields; hence, many are looking at the blockchain as a chance to solve long-standing problems or gain novel benefits. In the agent community several authors are proposing their own combination of agent-oriented technology and blockchain to address both old and new challenges. In this paper we aim at clarifying which are the opportunities, the dimensions to consider, and the alternative approaches available for integrating agents and blockchain, by proposing a roadmap and illustrating the issues yet to be addressed. Then, as both validation of our roadmap and grounds for future development, we discuss the case of Tenderfone, a custom blockchain integrating concepts borrowed from agent-oriented programming

Enabling technologies, application areas and impact of industry 4.0: a bibliographic analysis

n/

Artificial Vision Algorithms for Socially Assistive Robot Applications: A Review of the Literature

Today, computer vision algorithms are very important for different fields and applications, such as closed-circuit television security, health status monitoring, and recognizing a specific person or object and robotics. Regarding this topic, the present paper deals with a recent review of the literature on computer vision algorithms (recognition and tracking of faces, bodies, and objects) oriented towards socially assistive robot applications. The performance, frames per second (FPS) processing speed, and hardware implemented to run the algorithms are highlighted by comparing the available solutions. Moreover, this paper provides general information for researchers interested in knowing which vision algorithms are available, enabling them to select the one that is most suitable to include in their robotic system applicationsBeca Conacyt Doctorado No de CVU: 64683

Application of Materials Science in the Study of Cultural Heritage

The application of advanced techniques to the study of ancient materials has increasingly led to a range of fundamental to deeper knowledge on artistic and historic artefacts, contributing to their conservation and restoration. An important role is played by materials science: scientific techniques developed in this field allow a multidisciplinary approach in archaeology, history of art, and conservation. By studying the materials that constitute an artefact, a great amount of information relevant to a work of art can be accessed, such as the elements and compounds with which it was made and their level of degradation by the time of the examination. The final goal is the possibility of determining the chronology of the making of the various parts of a work of art, its provenance, the techniques of realization, the attribution to an author, and the method of intervention for restoration. This Special Issue collects papers dealing with the application of materials science to different types of human artefacts, such as ceramics, glass, paintings, and metal objects. The considered topics range from instrumentation and technical developments to case studies and methodological innovations, from theoretical simulations to new data handling

Shadow removal utilizing multiplicative fusion of texture and colour features for surveillance image

Automated surveillance systems often identify shadows as parts of a moving object which jeopardized subsequent image processing tasks such as object identification and tracking. In this thesis, an improved shadow elimination method for an indoor surveillance system is presented. This developed method is a fusion of several image processing methods. Firstly, the image is segmented using the Statistical Region Merging algorithm to obtain the segmented potential shadow regions. Next, multiple shadow identification features which include Normalized Cross-Correlation, Local Color Constancy and Hue-Saturation-Value shadow cues are applied on the images to generate feature maps. These feature maps are used for identifying and removing cast shadows according to the segmented regions. The video dataset used is the Autonomous Agents for On-Scene Networked Incident Management which covers both indoor and outdoor video scenes. The benchmarking result indicates that the developed method is on-par with several normally used shadow detection methods. The developed method yields a mean score of 85.17% for the video sequence in which the strongest shadow is present and a mean score of 89.93% for the video having the most complex textured background. This research contributes to the development and improvement of a functioning shadow eliminator method that is able to cope with image noise and various illumination changes

Multidisciplinary Aspects of Design. Objects, Processes, Experiences and Narratives

The book addresses the contemporary perspectives of design on a multidisciplinary through 4 key words: objects, processes, experiences, narratives. It aims at further investigating the role of the archive for the design culture reflecting on “Memory and Future” and “The Tools of Design and the Language of Representation”, and also themes that are yet at the center of the multidisciplinary debate on design. The tenets of the conference (OPEN: objects, processes, experiences and narratives) will hence also correspond to the book sections: -Objects. Design as focused on the object, on its functional and symbolic dimension, and at the same time on the object as a tool for representing cultures; -Processes. The designer’s self-reflective moment which is focused on the analysis and on the definition of processes in various contexts, spanning innovation, social engagement, reflection on emergencies or forecasting. -Experiences. Design as a theoretical and practical strategy aimed at facilitating experiential interactions among people, people and objects or environments. -Narratives. Making history, representing through different media, archiving, narrating, and exhibiting design

Survey of smart parking systems

The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal path, are needed. Most contributions in the literature are routing strategies that take into account different criteria to select the optimal route required to find a parking space. This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other methods they employ, in order to analyze where the development of these systems is at today. To do this, a survey of 274 publications from January 2012 to December 2019 was conducted. The survey considered four principal features: SPS types reported in the literature, the kinds of VDT used in these SPS, the algorithms or methods they implement, and the stage of development at which they are. Based on a search and extraction of results methodology, this work was able to effectively obtain the current state of the research area. In addition, the exhaustive study of the studies analyzed allowed for a discussion to be established concerning the main difficulties, as well as the gaps and open problems detected for the SPS. The results shown in this study may provide a base for future research on the subject.Fil: Diaz Ogás, Mathias Gabriel. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Fabregat Gesa, Ramon. Universidad de Girona; EspañaFil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentin