Multi-agent policy evaluation and seeking are longstanding challenges in developing theories for multi-agent reinforcement learning (MARL), due to multi-dimensional goals, non-stationary environment scalability issues the joint space. This paper introduces two metrics grounded on a game-theoretic solution concept called sink equilibrium, evaluation, ranking, computation of policies multiagent l...

In this paper we describe the specification of a model for the semantically interoperable representation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasingly for the representation of language resources as Linked Data, with 'Marl', an RDF-based model for the rep...

This thesis presents a novel approach to provide adaptive mechanisms to detect and categorise Flooding-Base DoS (FBDoS) and Flooding-Base DDoS (FBDDoS) attacks. These attacks are generally based on a flood of packets with the intention of overfilling key resources of the target, and today the attacks have the capability to disrupt networks of almost any size. To address this problem we propose ...

Low bearing capacity soils may pose serious construction concerns such as reduced and excessive hydro-associated volume changes. Proper soil remediation techniques must be planned implemented before commencing any on low soils. Environmentally friendly stabilizers are gradually replacing traditional with high carbon dioxide emissions lime cement. This study investigated the use of an alternativ...

Abstract In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed traffic. This cohabitation raises serious challenges, both terms of traffic flow and individual mobility, as well from road safety point view. Mixed fail to fulfill expected security requirements due heterogeneity unpredictability drivers, cars could then monopolize Using multi-agent reinforcement lea...