From computer games to human societies, many natural and artificial phenomena can be represented as multi-agent systems.Over time, these systems have been proven a really powerful tool for modelling understanding in fields, such economics trading, health care, urban planning social sciences.However, although, intelligent agents around years, their actual implementation is still its early stages.Since the late nineties agent platforms developed.Some of them already abandoned whereas others...

Along with the development of smart grids, wide adoption electric vehicles (EVs) is seen as a catalyst to reduction CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions and more intelligent transportation systems. In particular, EVs augment grid ability store energy at some points in network give it back others and, therefore, help optimize use from intermittent renewable sources let users refill their cars variety locations....

Abstract Argumentation and eXplainable Artificial Intelligence (XAI) are closely related, as in the recent years, has been used for providing Explainability to AI. can show step by how an AI System reaches a decision; it provide reasoning over uncertainty find solutions when conflicting information is faced. In this survey, we elaborate topics of XAI combined, reviewing all important methods studies, well implementations that use More specifically, enable solving various types problems...

We propose offline and online scheduling algorithms for the charging of electric vehicles (EVs) in a single station (CS). The has available cheaper, but limited, energy from renewable sources (RES). EVs are capable willing to participate vehicle-to-vehicle (V2V) transfers that used reduce cost increase RES utilization. centralized aim minimize total EVs. formulate problem as mixed integer programming (MIP) one we solve it optimally assuming full knowledge EV demand generation. Later, an...

Defeasible reasoning is a rule-based approach for efficient with incomplete and inconsistent information. Such is, among others, useful ontology integration, where conflicting information arises naturally; the modeling of business rules policies, exceptions are often used. This paper describes these scenarios reports on implementation system defeasible Web. The system, DR-DEVICE, capable about RDF metadata over multiple Web sources using logic rules. It implemented top CLIPS production rule...

The paper presents an integrated approach for automated semantic web service composition using AI planning techniques. An important advantage of this is that the process, as well discovery atomic services take part in composition, are significantly facilitated by incorporation information. OWL-S descriptions transformed into a problem described standardized fashion PDDL, while information used enhancement process approximating optimal composite when exact solutions not found. Solving,...

In this paper, we describe and evaluate a Web service discovery framework using OWL-S advertisements, combined with the distinction between of WSMO Discovery Framework. More specifically, follow model, which is based on abstract lightweight semantic descriptions, Service Profile ontology OWL-S. Our goal to determine fast an initial set candidate services for specific request. This can then be used in more fine-grained approaches, richer descriptions. matchmaking algorithm extends...

This work introduces an ontology for incorporating Ambient Intelligence in Smart Buildings. The extends and benefits from existing ontologies the field, but also adds classes needed to sufficiently model every aspect of a service-oriented smart building system. Namely, it includes concepts modeling all functionality (i.e. services, operations, inputs, outputs, logic, parameters environmental conditions), QoS (resources, parameters), hardware (smart devices, sensors actuators, appliances,...

In this paper we propose an optimal Electric Vehicle (EV) charging scheduling scheme with the option of Vehicle-to-Grid (V2G) and Vehicle-to-Vehicle (V2V) energy transfer. way, aim to increase customer satisfaction as well utilization compared settings where only from grid exists. We assume a single station exist present three alternative formulations problem V2G V2V transfer: (a) without additional grid, (b) (c) battery backup storage. all cases, formulate problems using Mixed Integer...

Document Management Systems (DMS) are used for decades to store large amounts of information in textual form. Their technology paradigm is based on storing vast quantities enriched with metadata support searchability. However, this exhibits limitations as it treats black box and exclusively user-created metadata, a process that suffers from quality completeness shortcomings. The use knowledge graphs DMS can substantially improve searchability, providing the ability link data enabling...

We consider the problem of managing Electric Vehicle (EV) charging at points in a city to ensure that load on remains within desired limits while minimizing inconvenience EV owners.We develop solutions treat and users as self-interested agents aim maximize their profit minimize impact schedule. In particular, we propose variants decentralised dynamic approach well an optimal centralised static approach. evaluated these real setting based road network location parking garages UK show...

In this paper, we describe O-DEVICE, a memory-based knowledge-based system for reasoning and querying OWL ontologies by implementing RDF/OWL entailments in the form of production rules order to apply formal semantics language. Our approach is based on transformation procedure into an object-oriented schema application inference over generated objects implement various OWL. enhance performance system, introduce dynamic generating ABOX incremental loading ontologies. O-DEVICE built CLIPS rule...

Abstract This paper presents PORSCE II, an integrated system that performs automatic Semantic Web service composition exploiting artificial intelligence (AI) techniques, specifically planning. Essential steps in achieving include the translation of problem into a solver-ready planning domain and problem, followed by acquisition solutions, solutions back to terms. The is, descriptions desired composite service, are obtained means external domain-independent systems, they visualized finally...