Een navigatie-agent in virtual reality

We geven een korte beschrijving van ons werk gericht op het ontwerpen van een navigatie-agent voor een virtuele werled die met natuurlijke taal aangesproken kan worden. Het project is gestart als afstudeerwerk van de tweede auteur. Dit artikel beschrijft voornamelijk zijn werk. Het werk wordt op dit moment voortgezet binnen een nationaal project op het gebied van toegankelijkheid van webpagina’s en binnen een aantal kleinere, deels ook door afstudeerders uitgevoerde, deelprojecten. De navigatieagent is onderdeel van een agent-raamwerk waarbinnen gecommuniceerd kan worden met andere agents. De navigatietaak bestaat uit het gidsen van bezoekers in de omgeving en het beantwoorden van vragen over deze omgeving (een theatergebouw). Bezoekers worden uitgenodigd het gebouw te exploreren, rond te kijken, vragen te stellen en kunnen al doende advies krijgen van de navigatie-agent. Een plattegrond is aan de omgeving toegevoegd, zodat bezoekers kunnen refereren aan lokaties en objecten op deze kaart, zowel in natuurlijke taal als door aanwijzen en klikken met een muis. Daardoor is sprake van een multi-modaal systeem met cross-modale referentiemogelijkheden

Internet of Things in Sustainable Energy Systems

Our planet has abundant renewable and conventional energy resources but technological capability and capacity gaps coupled with water-energy needs limit the benefits of these resources to citizens. Through IoT technology solutions and state-of-the-art IoT sensing and communications approaches, the sustainable energy-related research and innovation can bring a revolution in this area. Moreover, by the leveraging current infrastructure, including renewable energy technologies, microgrids, and power-to-gas (P2G) hydrogen systems, the Internet of Things in sustainable energy systems can address challenges in energy security to the community, with a minimal trade-off to environment and culture. In this chapter, the IoT in sustainable energy systems approaches, methodologies, scenarios, and tools is presented with a detailed discussion of different sensing and communications techniques. This IoT approach in energy systems is envisioned to enhance the bidirectional interchange of network services in grid by using Internet of Things in grid that will result in enhanced system resilience, reliable data flow, and connectivity optimization. Moreover, the sustainable energy IoT research challenges and innovation opportunities are also discussed to address the complex energy needs of our community and promote a strong energy sector economy

Process mining in a multi-agent auctioning system

Summary. Both process mining and multi agent simulations are relatively new re- search areas, both evolving rapidly. In multi agent simulations, techniques are being developed to make agents more intelligent and more adaptive to their environment. In process mining, the focus has shifted from discovering a complete process model from an execution log, to the development of all kind of analysis techniques related to processes. In this paper, we combine the two research areas by showing that process mining techniques, applied to the communication logs of multi-agent simu- lations, can help in understanding the behaviour of agents. Furthermore, we show that process mining could actually help agents to adapt to their environment, by enabling them to discover why another agent makes certain decisions instead of just reacting on the fact that the other agent made a decision

Process mining in a multi-agent auctioning system

Summary. Both process mining and multi agent simulations are relatively new re- search areas, both evolving rapidly. In multi agent simulations, techniques are being developed to make agents more intelligent and more adaptive to their environment. In process mining, the focus has shifted from discovering a complete process model from an execution log, to the development of all kind of analysis techniques related to processes. In this paper, we combine the two research areas by showing that process mining techniques, applied to the communication logs of multi-agent simu- lations, can help in understanding the behaviour of agents. Furthermore, we show that process mining could actually help agents to adapt to their environment, by enabling them to discover why another agent makes certain decisions instead of just reacting on the fact that the other agent made a decision

Mechanisering van synthesegas in de vloeistoffase

Document(en) uit de collectie Chemische ProcestechnologieDelftChemTechApplied Science

Learning inventory management strategies for commodity supply chains with customer satisfaction

In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in both the amount that is available, as well as the price to pay. Successful participation in such supply chains requires a good inventory management strategy. Actors must find a balance between inventory costs and client satisfaction: structurally high inventory costs reduces the profit, but customers that are faced with a depleted supplier will lose confidence and next time purchase from a competitor. This paper presents a model and a simulation environment to learn successful strategies for participation in this type of supply chains. We combine evolutionary algorithms with logistic theories, and use them in a case in a petrochemical setting. We show that software agents are capable of learning basic and more complex strategies, and that complex learned strategies perform better than basic learned strategies