Renewable Energy Sources (RES) are ever more finding their way into today's power systems. They have many benefits, but hold challenges when it comes to operating the power system. Their intermittency defies the current prominent approach of keeping system balance; supply follows demand. Demand Response (DR) has been proposed numerous times to miti...
In this paper, we propose a decentralized agent-based Autonomic Semantic Service Adaptation Controller and Reconfiguration (ASSACR) to solve the problem of context-aware service selection and deployment for distributed healthcare mobile applications, where functional and non-functional users' needs are expressed using domain-independent ontology. T...
Autonomous Unmanned Aerial Vehicles (UAVs) are in increasing demand thanks to their applicability in a wide range of domains. However, to fully exploit such potential, UAVs should be capable of intelligently planning their collision-free paths as that impacts greatly the execution quality of their applications. While being a problem well addressed ...
Denna rapport beskriver utvecklingen av ett grafiskt gränssnitt för utvärderingsverktygetHanabi Challenge Benchmark. Utvärderingsverktyget grundar sig på det populärakortspelet Hanabi och presenterar sig själv som en ny riktlinje för forskningav artificiell intelligens med fokus på multi-agentbaserade kooperativa utmaningar.Syftet och målet med pro...
In this study, we investigate the effects of conditioning Independent Q-Learners (IQL) not solely on the individual action-observation history, but additionally on the sufficient plan-time statistic for Decentralized Partially Observable Markov Decision Processes. In doing so, we attempt to address a key shortcoming of IQL, namely that it is likely...
Today defence systems are becoming more complex as technology advances and it is of great importance to explore new ways of solving problems and keep national defence current. In particular, Artificial Intelligence (AI) is used in an increasing number of industries such as logistic solutions, inventory management and defence. This thesis will evalu...
In this dissertation, we provide efficient algorithms for modeling the behavior of a single agent, multiple agents, and a continuum of agents. For a single agent, we combine the modeling framework of optimal control with advances in optimization splitting in order to efficiently find optimal paths for problems in very high-dimensions, thus providin...
Using touch devices to navigate in virtual 3D environments such as computer assisted design (CAD) models or geographical information systems (GIS) is inherently difficult for humans, as the 3D operations have to be performed by the user on a 2D touch surface. This ill-posed problem is classically solved with a fixed and handcrafted interaction prot...
Using touch devices to navigate in virtual 3D environments such as computer assisted design (CAD) models or geographical information systems(GIS) is inherently difficult for humans, as the 3D operations have to be performed by the user on a 2D touch surface. This ill-posed problem is classically solved with a fixed and handcrafted interaction proto...
We prove a Pontryagin Maximum Principle for optimal control problems in the space of probability measures, where the dynamics is given by a transport equation with non-local velocity. We formulate this first-order optimality condition using the formalism of subdifferential calculus in Wasserstein spaces. We show that the geometric approach based on...
