Results 31 to 40 of about 226,350 (302)

Oblique intent, foresight and authorisation [PDF]

open access: yes, 2018
In R v Jogee, the Supreme Court of the United Kingdom (UKSC) abolished a contentious doctrine of criminal law which allowed accomplices to a crime A to be convicted of another’s crime B on the basis that they foresaw commission of the latter in the ...
Krebs, Beatrice
core   +2 more sources

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková   +4 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Integration of corporate technological foresight into the technological development management system in companies of oil and gas sector

open access: yesУправление, 2020
The experience of leading multinational players in conducting corporate technological foresight shows that the key to its successful implementation is effective integration with the existing corporate strategic planning system.The issue of identifying ...
A. O. Alekseev, V. Ya. Afanasev
doaj   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Navigating complexity: looking at the potential contribution of a boundary organisation in Portugal to evidence-informed policy

open access: yesHumanities & Social Sciences Communications
Governments deal increasingly with multidimensional problems involving high levels of complexity. These so-called wicked problems, such as climate change, demand coordinated and coherent government action, as well as multi-stakeholder approaches ...
Susana Sobral   +5 more
doaj   +1 more source

Development of regional foresight studies between 2000 and 2019: an overview and co-citation analysis

open access: yesEuropean Journal of Futures Research, 2021
Regional foresight is one of the regional planning approaches that increase the ability to deal with uncertainty and changes. This study aims to provide an overview of regional foresight studies and domain map to evaluate their merits and defects and ...
Hamed Amini   +2 more
doaj   +1 more source

Management and toxicological analysis of ocular hypertension after EyeCee® ONE intraocular lens implantation: a case series

open access: yesBMC Ophthalmology
Background The EyeCee® ONE intraocular lens (Nidek, Gamagori, Japan) has been withdrawn from the market due to a high number of reports of severe ocular hypertension (OHT) following phacoemulsification with implantation of this intraocular lens (IOL). In
Paul Bastelica   +8 more
doaj   +1 more source

Imagining transformative futures: participatory foresight for food systems change

open access: yesEcology and Society, 2018
Transformations inherently involve systems change and because of the political nature of change, are subject to contestation. A potentially effective strategy to further transformative change that builds on interdisciplinary, multiactor, and multiscale ...
Aniek Hebinck   +4 more
doaj   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
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

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