From prediction to engagement: using technical models to enhance consultation in water management
Technical models are useful tool to address epistemic uncertainties but often fall short of attending to other types of uncertainty that characterize complex water challenges.
R. Schuyler Houser +2 more
doaj +1 more source
Japanese Monetary Policy during the Collapse of the Bubble Economy: A View of Policymaking under Uncertainty [PDF]
Focusing on policymaking under uncertainty, we analyze the monetary policy of the Bank of Japan (BOJ) in the early 1990s, when the bubble economy collapsed. Conducting stochastic simulations with a large- scale macroeconomic model of the Japanese economy,
Ippei Fujiwara, Naoko Hara, Naohisa Hirakata, Takeshi Kimura, and Shinichiro Watanabe
core
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Climate Policy and Uncertainty: The Roles of Adaptation versus Mitigation [PDF]
Climate Policy and Uncertainty: The Roles of Adaptation versus Mitigationclimate change,uncertainty ...
Peter J. Wilcoxen, Warwick J. McKibbin
core
Optimal policy and Taylor rule cross-checking under parameter uncertainty : [Version 26 September 2013] [PDF]
We examine whether the robustifying nature of Taylor rule cross-checking under model uncertainty carries over to the case of parameter uncertainty. Adjusting monetary policy based on this kind of cross-checking can improve the outcome for the monetary ...
Bursian, Dirk, Roth, Markus
core +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Does Monetary Policy Affect Stock Market Uncertainty? – Empirical Evidence from the United States [PDF]
This paper investigates the response of US stock market uncertainty to monetary policy of the Federal Reserve Bank. It can be shown that monetary policy significantly Granger-causes stock market confidence. By using monthly closing prices of the VIX as a
Mario Jovanovic
core
What do I make of your Latinorum? Sensitivity auditing of mathematical modelling
In their book Uncertainty and Quality of Science for Policy (1990), Funtowicz and Ravetz argued the need to extend traditional methods and techniques of quality assurance in policy-related science.
Funtowicz, Silvio +3 more
core +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
"The Role of Uncertainty in the Term Structure of Interest Rates: A Macro-Finance Perspective" [PDF]
Using a macroeconomic perspective, we examine the effect of uncertainty arising from policy-shock volatility on yield-curve dynamics. Many macro-finance models assume that policy shocks are homoskedastic, while observed policy shock processes are ...
Junko Koeda, Ryo Kato
core +3 more sources

