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Algrím fyrir alhæfingar um orsakasambönd
No full textFor any agent to effectively learn how to achieve its goals via interaction
with environments, it must have causal reasoning capabilities. Causal reasoning
enables an agent to predict actions’ consequences and hypothesize the
necessary conditions for taking appropriate actions. Effective mechanisms
for generalizing causal knowledge and reasoning lead to more adaptive and
autonomous artificial intelligence (AI) systems. While the topic of generalization
has extensively been researched in AI over the past few decades, the
question of which mechanisms are required to enable causality-based agents
to leverage their familiarity with tasks in order to generalize their knowledge
when trying to achieve their goals has remained to be addressed. In
this thesis, we present a cumulative learning-based generalization mechanism
that allows AI agents to use their familiarity with experienced situations to
guide their causal hypothesis generation and exploration processes, thereby
making their task planning more flexible and well-informed. The mechanism
also makes AI systems more flexible and imaginative by enabling them to
exploit both good and bad analogies to invent fresh approaches to new tasks.
Constructivism and causality serve as the primary foundations of this work’s
methodology. To validate the proposed mechanism, we have implemented
it into a general machine intelligence (GMI) aspiring control system called
Autocatalytic Endogenous Reflective Architecture (AERA) and tested it on
multiple robot learning tasks as a proof of concept. We have also compared
the extended AERA to another GMI aspiring system called Non-Axiomatic
Reasoning System (NARS) in terms of their generalizability. The mechanism
presented showcases its efficacy through empirical evidence and analytical
evaluation.Gervigreind kerfi (e. artificial intelligence systems, AI) sem eiga að ná markmiðum í fjölbreyttu umhverfi, og sem læra sjálf gegnum vélrænt nám, þurfa að tákna orsök og afleiðingu þannig að það nýtist til sjálfstæðrar hugsunar og röksemdarfærslu. Sé sú krafa uppfyllt geta kerfin fært rök fyrir afleiðingum aðgerða sinna, spáð fyrir um nauðsynlegar forstendur þeirra, og séð fyrir hvernig best sé að ná settum markmiðum. Nytsamlegar alhæfingar um orsakatengsl eru forsenda þess að gæða gervigreind kerfi sjálfstæðri aðlögunarhæfni (e. autonomy). Þótt ýmsar aðferðir til framleiðslu alhæfingarreglna
hafi verið skoðaðar í gervigreind á undanförnum áratugum er spurningunni
enn ósvarað hvernig gervigreind geti nýtt til þess eigin reynslu af orsakasamhengi
í fyrri verkefnum. Hér kynnum við aðferð fyrir alhæfingagerð í vélrænu námi sem gerir gervigreind kleift að nota uppsafnaða þekkingu sína til að spinna nýjar orsakatilgátur og sannreyna þær með skipulagðri íhlutun við umhverfið. Aðferðin gerir gervigreind kerfi betur í stakk búin að aðlagast nýjum aðstæðum og nýta betur þekkingu í nýjum verkefnum. Aðferðin gerir gervigreindarkerfi sveigjanlegri og hugmyndaríkari með því að leyfa þeim að
nýta bæði góðar og slæmar samlíkingar og myndlíkingar til að finna upp nýjar aðferðir við verkefni. Aðferðin á rætur að rekja til hugsmíðahyggju (e. constructivism) og sjálfstæðrar táknunar orsakasamhengis (e. autonomus generation of causal knowledge). Til að sannreyna aðferðina höfum við innleitt það í kerfi sem er hluti af rannsóknum á alhliða gervigreind (e. general machine intelligence/artificial general intelligence) og kallast Autocatalytic Endogenous Reflective Architecture (AERA). Sýnt er hvernig aðferðin virkar
í nokkrum verkefnum. Þá er AERA borin saman við Non-Axiomatic Reasoning System (NARS) hvað varðar alhæfingargetu, þar sem hugmyndafræðilegur grunnur NARS er vel fallinn til slíks samanburðar. Aðferðin og virkni hennar er metin með bæði empírískum og analýtískum hætti
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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