Titlebook: Engineering Multi-Agent Systems; 8th International Wo Cristina Baroglio,Jomi F. Hubner,Michael Winikoff Conference proceedings 2020 Springe

Anemia

: Tactical Agents for Testing Computer Games,rful, unfortunately they also make them extremely difficult to test. Not only do we have to deal with their functional complexity, but also the fine grained interactivity of their user interface blows up their interaction space, so that traditional automated testing techniques have trouble handling

Irrepressible

直言不讳

Fragility and Robustness in Multiagent Systems,se of systems of distributed and interconnected components. Multiagent Systems (MAS) are valuable for conceptualizing and implementing distributed systems, but the current design methodologies for MAS fall short in addressing robustness in a systematic way at design time. In this paper we outline ou

革新

overrule

Multi-agent Control of Industrial Robot Vacuum Cleaners,e prototype system is based on domestic robot vacuum cleaners equipped with infrared allergen sensors and Amazon echo dot speech interfaces. T.he robots are controlled by a multi-agent system implemented in Jason, which handles (ad hoc) task allocation and robot coordination. We briefly describe the

怪物

Orthos: A Trustworthy AI Framework for Data Acquisition,deployment of dedicated data collectors is expensive and ineffective. It requires efficient information elicitation mechanisms to guarantee that the collected data are accurately acquired and reported. Such mechanisms can be implemented via smart contracts on blockchain to enable privacy and trust.

misanthrope

Simulating Vehicular IoT Applications by Combining a Multi-agent System and Big Data, to a dynamically changing environment. As multiple external factors determine driving behavior, it is usually difficult to obtain an accurate model, owing to a lack of sensors or inability to collect data. In this paper, we propose a novel technique to combine driving behavior in vehicular Internet

极肥胖

哀求

人工制品

Fragility and Robustness in Multiagent Systems,r vision of how robustness in MAS can be granted as a design property. To this end, we exploit the notion of accountability as a mechanism to build reporting frameworks and, then, we describe how robustness is gained. We exemplify our vision on the JaCaMo agent platform.