31 research outputs found

    System and Method for Generating Psuedo-Noise Sequences

    Get PDF
    Disclosed is a method for generating psuedo-noise (PN) sequences utilizing a system comprised of a quantizer, and N directly quantized output/input map containing chaotic map cells, each in functional combination with combiner means and an m-bit shift register

    Migration in later Life. Residence, social security and citizenship strategies of Turkish return migrants and Dutch retirement migrants in Turkey

    Get PDF
    Contains fulltext : 99154.pdf (author's version ) (Open Access)93 p

    Turkey's relations with a changing Europe

    No full text

    A Comparison of Residence, Social Security and Citizenship Strategies of Turkish Return Migrants and Dutch Retirement Migrants in Turkey

    No full text
    Contains fulltext : 140721pub.pdf (publisher's version ) (Closed access

    Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy

    Full text link
    In an effort to guarantee that machine learning model outputs conform with human moral values, recent work has begun exploring the possibility of explicitly training models to learn the difference between right and wrong. This is typically done in a bottom-up fashion, by exposing the model to different scenarios, annotated with human moral judgements. One question, however, is whether the trained models actually learn any consistent, higher-level ethical principles from these datasets -- and if so, what? Here, we probe the Allen AI Delphi model with a set of standardized morality questionnaires, and find that, despite some inconsistencies, Delphi tends to mirror the moral principles associated with the demographic groups involved in the annotation process. We question whether this is desirable and discuss how we might move forward with this knowledge.Comment: To appear at TrustNLP Workshop @ NAACL 202
    corecore