17,264 research outputs found
Digital interaction: where are we going?
In the framework of the AVI 2018 Conference, the interuniversity center ECONA has organized a thematic workshop on "Digital Interaction: where are we going?". Six contributions from the ECONA members investigate different perspectives around this thematic
Research Priorities for Robust and Beneficial Artificial Intelligence
Success in the quest for artificial intelligence has the potential to bring
unprecedented benefits to humanity, and it is therefore worthwhile to
investigate how to maximize these benefits while avoiding potential pitfalls.
This article gives numerous examples (which should by no means be construed as
an exhaustive list) of such worthwhile research aimed at ensuring that AI
remains robust and beneficial.Comment: This article gives examples of the type of research advocated by the
open letter for robust & beneficial AI at
http://futureoflife.org/ai-open-lette
An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure
To date, many communities of practice (COP) in the social sciences have been struggling with how to deal with rapidly growing bodies of information. Many CoPs across broad disciplines have turned to community frameworks for complexity modeling (CFCMs) but this strategy has been slow to be discussed let alone adopted by the social sciences communities of practice (SS-CoPs). In this paper we urge the SS-CoPs that it is timely to develop and establish a CBCF for the social sciences for two major reasons: the rapid acquisition of data and the emergence of critical cybertools which can facilitate agent-based, spatially-explicit models. The goal of this paper is not to prescribe how a CFCM might be set up but to suggest of what components it might consist and what its advantages would be. Agent based models serve the establishment of a CFCM because they allow robust and diverse inputs and are amenable to output-driven modifications. In other words, as phenomena are resolved by a SS-CoP it is possible to adjust and refine ABMs (and their predictive ability) as a recursive and collective process. Existing and emerging cybertools such as computer networks, digital data collections and advances in programming languages mean the SS-CoP must now carefully consider committing the human organization to enabling a cyberinfrastructure tool. The combination of technologies with human interfaces can allow scenarios to be incorporated through 'if' 'then' rules and provide a powerful basis for addressing the dynamics of coupled and complex social ecological systems (cSESs). The need for social scientists to be more engaged participants in the growing challenges of characterizing chaotic, self-organizing social systems and predicting emergent patterns makes the application of ABMs timely. The enabling of a SS-CoP CFCM human-cyberinfrastructure represents an unprecedented opportunity to synthesize, compare and evaluate diverse sociological phenomena as a cohesive and recursive community-driven process.Community-Based Complex Models, Mathematics, Social Sciences
An overview on the obsolescence of physical assets for the defence facing the challenges of industry 4.0 and the new operating environments
Libro en Open AccessThis contribution is intended to observe special features presented in physical assets for
defence. Particularly, the management of defence assets has to consider not only the reliability, availability,
maintainability and other factors frequently used in asset management. On the contrary, such systems
should also take into account their adaptation to changing operating environments as well as their capability
to changes on the technological context. This study approaches to the current real situation where, due
to the diversity of conflicts in our international context, the same type of defence systems must be able
to provide services under different boundary conditions in different areas of the globe. At the same time,
new concepts from the Industry 4.0 provide quick changes that should be considered along the life cycle
of a defence asset. As a finding or consequence, these variations in operating conditions and in technology
may accelerate asset degradation by modifying its reliability, its up-to-date status and, in general terms, its
end-of-life estimation, depending of course on a diversity of factors. This accelerated deterioration of the
asset is often known as “obsolescence” and its implications are often evaluated (when possible), in terms
of costs from different natures. The originality of this contribution is the introduction of a discussion on
how a proper analysis may help to reduce errors and mistakes in the decision-making process regarding the
suitability or not of repairing, replacing, or modernizing the asset or system under study. In other words,
the obsolescence analysis, from a reliability and technological point of view, could be used to determine the
conservation or not of a specific asset fleet, in order to understand the effects of operational and technology
factors variation over the functionality and life cycle cost of physical assets for defence
Recommended from our members
Towards a Security, Privacy, Dependability, Interoperability Framework for the Internet of Things
A popular application of ambient intelligence systems constitutes of assisting living services on smart buildings. As intelligence is imported in embedded equipment, the system becomes able to provide smart services (e.g. control lights, airconditioning, provide energy management services etc.). IoT is the main enabler of such environments. However, the interconnection of these cyber-physical systems and the processing of personal data raise serious security and privacy issues. In this paper we present a framework that can guarantee Security, Privacy, Dependability and Interoperability (SPDI) in IoT. Taking advantage of the underlying IoT deployment, the proposed framework not only implements the requested smart functionality but also provide modelling and administration that can guarantee those SPDI properties. Moreover, we provide an application example of the framework in a smart building scenario
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