Results 11 to 20 of about 1,901 (234)
Are the antiglobalists right? Gains-from-trade without a walrasian auctioneer [PDF]
We examine whether the "fear" of globalisation can be rationalised by economic theory. To do so, we depart from the standard AD/AS (partial) equilibrium model where the coordinational role of the Auctioneer is substituted by an implementation device ...
Calvo Pardo, Hector
core +3 more sources
Foresight in cities: on the possibility of a “strategic urban intelligence” [PDF]
Purpose This paper aims to review the challenges of urban foresight via an analytical method: apply this to the city demonstrations on the UK Foresight Future of Cities: and explore the implications for ways forward. Design/methodology/approach The methodology is based on the principles of co-evolutionary complex systems, a newly developed toolkit ...
Ravetz, Joe; id_orcid 0000-0003-4288-2200 +1 more
openaire +2 more sources
RIO Country Report 2015: Israel [PDF]
The 2015 series of RIO Country Reports analyse and assess the policy and the national research and innovation system developments in relation to national policy priorities and the EU policy agenda with special focus on ERA and Innovation Union.
GARCIA Abraham
core +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Heraclius and the Evolution of Byzantine Strategy [PDF]
The Byzantine military strategy expressed in the 10th century treatise On Skirmishing marked a decisive shift in Byzantine strategy and an entirely new mindset in approaching war. What is unique about this strategy is that it was not created during a war
Ekkebus, Bob
core +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Exploration and Imagination of City Futures in Science-Fiction [PDF]
Whilst urban planning is regularly based on the scientific state of the art, Science-Fiction (Sci-Fi) creators are free to implement more improbable aspects which may look ‘mad’ from today’s view.
Maikämper, Moritz, Pätsch, Carolin
core
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
What are the potential end customers of the heat market like? The customer segmentation challenge on the heat market [PDF]
Due to the increasing role of the digitalization and the emergence of new consumption patterns, end customers became empowered decision makers. They show the tendency to trust less the professionals and rather consult their social environment by their ...
Munkácsi, Noémi, Simon, Judit
core +2 more sources
Spinal muscular atrophy (SMA) is a severe neuromuscular disease with emerging therapeutic complexity. This review aims to systematically map the global pipeline of investigational treatments for SMA. Using ClinicalTrials.gov and complementary international registries, we identified 21 planned or ongoing interventional trials from 2020 to 2025 targeting
Andrej Belančić +7 more
wiley +1 more source

