Models of incremental concept formation

Given a set of observations, humans acquire concepts that organize those observations and use them in classifying future experiences. This type of concept formation can occur in the absence of a tutor and it can take place despite irrelevant and incomplete information. A reasonable model of such human concept learning should be both incremental and capable of handling this type of complex experiences that people encounter in the real world. In this paper, we review three previous models of incremental concept formation and then present CLASSIT, a model that extends these earlier systems. All of the models integrate the process of recognition and learning, and all can be viewed as carrying out search through the space of possible concept hierarchies. In an attempt to show that CLASSIT is a robust concept formation system, we also present some empirical studies of its behavior under a variety of conditions

The implications of first-order risk aversion for asset market risk premiums

financial risk;international financial markets;capital asset pricing;excahnge rate;general equilibrium

The Relationship between Fuzzy Reasoning and Its Temporal Characteristics for Knowledge Management

The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.Knowledge Management, Artificial Reasoning, predictability

Safety-related challenges and opportunities for GPUs in the automotive domain

GPUs have been shown to cover the computing performance needs of autonomous driving (AD) systems. However, since the GPUs used for AD build on designs for the mainstream market, they may lack fundamental properties for correct operation under automotive's safety regulations. In this paper, we analyze some of the main challenges in hardware and software design to embrace GPUs as the reference computing solution for AD, with the emphasis in ISO 26262 functional safety requirements.Authors would like to thank Guillem Bernat from Rapita Systems for his technical feedback on this work. The research leading to this work has received funding from the European Re-search Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773). This work has also been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence. Jaume Abella has been partially supported by the Ministry of Economy and Competitiveness under Ramon y Cajal postdoctoral fellowship number RYC-2013-14717. Carles Hernández is jointly funded by the Spanish Ministry of Economy and Competitiveness and FEDER funds through grant TIN2014-60404-JIN.Peer ReviewedPostprint (author's final draft

The Costs and Benefits of Front-loading and Predictability of Immunization

How can the international community save more children’s lives faster and more effectively in the 21st century? This Working Paper analyzes the extent to which “frontloading” and predictable vaccine funding, as proposed by the International Finance Facility for Immunization (IFFIm), is more effective in impacting vaccine coverage than spending vaccine funds equally throughout the lives of projects. The IFFIm is an initiative of the Global Alliance for Vaccines and Immunization (GAVI), and supported by the governments of the United Kingdom, France, Sweden, Italy, Spain and Norway. An initial IFFIm investment of $4 billion is expected to prevent 5 million child deaths by 2015, and more than 5 million future adult deaths. Using a stylized model, the authors quantify the positive and negative effects of predictable vaccine funds and frontloading, and finds IFFIm’s approach can increase the impact of vaccine coverage by 22%. This is because stable and long-term financing allows vaccine manufacturers and countries to plan for long periods of time, knowing that resources will be available. Front-loading helps to reduce the spread of disease and to immunize large groups of people faster.frontloading, vaccine, immunization