The methodology of biomimicry design thinking is based on and builds upon the overarching patterns that all life abides by. “Cultivating cooperative relationships” within an ecosystem is one such pattern we as humans can learn from to nurture our own mutualistic and symbiotic relationships. While form and process translations from biology to design have proven accessible by students learning biomimicry, the realm of translating biological functions in a systematic approach has proven to be more difficult. This study examines how higher education students can approach the gap that many companies in transition are struggling with today; that of thinking within the closed loops of their own ecosystem, to do good without damaging the system itself. Design students should be able to assess and advise on product design choices within such systems after graduation. We know when tackling a design challenge, teams have difficulties sifting through the mass of information they encounter, and many obstacles are encountered by students and their professional clients when trying to implement systems thinking into their design process. While biomimicry offers guidelines and methodology, there is insufficient research on complex, systems-level problem solving that systems thinking biomimicry requires. This study looks at factors found in course exercises, through student surveys and interviews that helped (novice) professionals initiate systems thinking methods as part of their strategy. The steps found in this research show characteristics from student responses and matching educational steps which enabled them to develop their own approach to challenges in a systems thinking manner. Experiences from the 2022 cohort of the semester “Design with Nature” within the Industrial Design Engineering program at The Hague University of Applied Sciences in the Netherlands have shown that the mixing and matching of connected biological design strategies to understand integrating functions and relationships within a human system is a promising first step. Stevens LL, Whitehead C, Singhal A. Cultivating Cooperative Relationships: Identifying Learning Gaps When Teaching Students Systems Thinking Biomimicry. Biomimetics. 2022; 7(4):184. https://doi.org/10.3390/biomimetics7040184
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Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for a given coordination graph is therefore a central subroutine in cooperative multi-agent reinforcement learning (MARL). Much research in MARL focuses on how to gradually update the parameters of the coordination graph, whilst leaving the solving of the coordination graph up to a known typically exact and generic subroutine. However, exact methods { e.g., Variable Elimination { do not scale well, and generic methods do not exploit the MARL setting of gradually updating a coordination graph and recomputing the joint action to select. In this paper, we examine what happens if we use a heuristic method, i.e., local search, to select joint actions in MARL, and whether we can use outcome of this local search from a previous time-step to speed up and improve local search. We show empirically that by using local search, we can scale up to many agents and complex coordination graphs, and that by reusing joint actions from the previous time-step to initialise local search, we can both improve the quality of the joint actions found and the speed with which these joint actions are found.
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Under pressure of the continuing need to modernize, Vietnam is rapidly reforming its education system. Cooperative Learning (CL) with a Western-based model is being enthusiastically applied. This paper suggests that an authentic form of CL has long existed in the foundations of Vietnamese education. The reasons why Western-based CL is encouraged can be attributed to false universalism (the belief that a practice that originated from elsewhere can be “cloned” with similar results) and neo-colonialism (the perpetuation of a colonial mindset under the pressure of financial loans). While an adjusted form of CL has been suggested by previous studies to make CL culturally appropriate, this paper argues that a true hybrid form of CL which takes into account the authentic CL will have more potential to make this method not only culturally but institutionally appropriate. The paper indicates a strong need to identify and incorporate indigenous practice in the process of educational reform.
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Renewable energy, particularly offshore wind turbines, plays a crucial role in the Netherlands' and EU energy-transition-strategies under the EU Green Deal. The Dutch government aims to establish 75GW offshore wind capacity by 2050. However, the sector faces human and technological challenges, including a shortage of maintenance personnel, limited operational windows due to weather, and complex, costly logistics with minimal error tolerance. Cutting-edge robotic technologies, especially intelligent drones, offer solutions to these challenges. Smaller drones have gained prominence through applications identifying, detecting, or applying tools to various issues. Interest is growing in collaborative drones with high adaptability, safety, and cost-effectiveness. The central practical question from network partners and other stakeholders is: “How can we deploy multiple cooperative drones for maintenance of wind turbines, enhancing productivity and supporting a viable business model for related services?” This is reflected in the main research question: "Which drone technologies need to be developed to enable collaborative maintenance of offshore wind turbines using multiple smaller drones, and how can an innovative business model be established for these services? In collaboration with public and private partners, Saxion, Hanze, and RUG will research the development of these collaborative drones and investigate the technology’s potential. The research follows a Design Science Research methodology, emphasizing solution-oriented applied research, iterative development, and rigorous evaluation. Key technological building blocks to be developed: • Morphing drones, • Intelligent mechatronic tools, • Learning-based adaptive interaction controllers and collaborations. To facilitate the sustainable industrial uptake of the developed technologies, appropriate sustainable business models for these technologies and services will be explored. The project will benefit partners by enhancing their operations and business. It will contribute to renewing higher professional education and may lead to the creation of spin-offs/spinouts which bring this innovative technology to the society, reinforcing the Netherlands' position as a leading knowledge economy.
Het project AI hub Noord is gericht op het ontwikkelen van het Noordelijk AI-ecosysteem. Het consortium met partners zoals Astron, RuG, UMCG, TNO, Wetsus, Life Cooperative, etc is gefinancierd vanuit een React EU aanvraag.Doelstellingen zijn het voorbereiden van gezamenlijke onderzoeksprojecten, het creëren van learning communities en het versterken van het netwerk.
Hotelschool The Hague (HTH) was founded and funded in 1929 by the hospitality industry to create a hub where industry partners could gain and share new insights, skills and knowledge. Since then, it has become a professional operation with a solid international reputation in hospitality management. Though HTH has expanded considerably over the years, it has always remained true to its original mandate with a clear commitment to hospitality and a strong connection with the industry. Since its establishment, HTH has sharpened its focus, remaining regionally rooted with an increasingly concentrated international outlook. In line with its heritage, HTH established an ambitious research and internationalisation strategy through its Research Center in 2010 and has pursued that strategy ever since. The goals of the strategy are clear: to achieve international recognition for high quality research that has immediate practical application in the real world while driving towards sustainable development facilitated by an expansive international network and learning community. In pursuit of this ambition, HTH finds the perfect opportunity in this Pilot Richting Europa project to advance the progress made in its established research and internationalisation strategy and to focus the expansion of its international network towards industrial, governmental, and other private and public sector partners. Through this project, it is the ambition of HTH to increase the impact of its research area, City Hospitality. City Hospitality is mainly a nationally focussed initiative which would significantly benefit from international exchange with other European cities engaging in hospitality efforts. This will be achieved through (1) the expansion of its network of industrial and governmental partners and networks across Europe and (2) by increasing its participation in cooperative European projects, with the ultimate aim of leading a consortium for a European project by the end of the project year.
