151 research outputs found

    Genetic Engineering, Artificial Intelligence, and Natural Man: An Existential Inquiry into Being and Rights

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    .It is apt and usual to cogitate and ratiocinate man and human rights; it is less so about or with (other) animal rights; and much more less and lesser so with/about “plant rights” and (possibly) the rights of cloned/the artificially intelligent agents’. This condition is unfair and not ideal because man, other animals, plants, and other human manipulations (AI) from nature constitute varying levels of being; therefore, they possess varying levels of rights. Hence there is need to espouse the nature/levels of being, on the one hand, and to adumbrate the nature/types of rights and as related to being as such—which is the imperative of this article. Dwelling on the cornucopia of literature/and common biological (and other) features in nature as basis for analysis, this article, first, seeks to establish that man, other animals, plants, and other human manipulations from nature constitute varying levels of being; and second, argues that each level of being as such possesses some rights associated with it. It argues further that either all beings have rights, or they don’t. The work concludes that if one accepts that all the levels of being possess rights (accordingly including plant, cloned and AI agents), then one has certain obligation to all levels of being; but accepting either poses the most existential and ontological threat to humanity and all of nature

    Renewing the link between cognitive archeology and cognitive science

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    In cognitive archeology, theories of cognition are used to guide interpretation of archeological evidence. This process provides useful feedback on the theories themselves. The attempt to accommodate archeological data helps shape ideas about how human cognition has evolved and thus—by extension—how the modern form functions. But the implications that archeology has for cognitive science particularly relate to traditional proposals from the field involving modular decomposition, symbolic thought and the mediating role of language. There is a need to make a connection with more recent approaches, which more strongly emphasize information, probabilistic reasoning and exploitation of embodiment. Proposals from cognitive archeology, in which evolution of cognition is seen to involve a transition to symbolic thought need to be realigned with theories from cognitive science that no longer give symbolic reasoning a central role. The present paper develops an informational approach, in which the transition is understood to involve cumulative development of information-rich generalizations

    Modelling the relationship between planning, control, perception and execution behaviours in interactive worksystems

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    This paper presents a model of planning carried out by interactive worksystems which attempts: 1. To describe the relationship between planning, control, perception and execution behaviours; 2. To make explicit how these may be distributed across the user and physically separate devices. Such a model, it is argued, is more suitable to support HCI design practice than theories of planning in cognitive science which focus on problem-solving methods and representations. To demonstrate the application of the model to work situations, it is illustrated by examples drawn from an observational study of secretarial office administration

    The development of an intelligent interface to a computational fluid dynamics flow-solver code

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    Researchers at NASA Lewis are currently developing an 'intelligent' interface to aid in the development and use of large, computational fluid dynamics flow-solver codes for studying the internal fluid behavior of aerospace propulsion systems. This paper discusses the requirements, design, and implementation of an intelligent interface to Proteus, a general purpose, 3-D, Navier-Stokes flow solver. The interface is called PROTAIS to denote its introduction of artificial intelligence (AI) concepts to the Proteus code

    Intelligence artificielle et signification. À propos des limites et des possibilitées des sciences cognitives

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    L'auteur distingue, dans les.travaux sur l'intelligence artifi- cielle, deux approches : l'approche technologique et l'approche cognitiviste. Il montre que les rapprochements faits, dans l'approche cognitiviste, entre l'intelligence humaine et l'intelligence artificielle, ne vont pas de soi, et que les thèses sur l'intelligence artificielle sont largement tributaires de certaines spéculations rationalistes et empi- ristes de la philosophie classique. Il expose la principale difficulté que rencontre alors une compréhension de l'intelligence humaine à partir de l'approche cognitiviste, à savoir la nécessité d'oblitérer la dimension sémantique et de professer un solipsisme radical, et il plaide en faveur d'une compréhension de l'intelligence humaine selon ce qu'elle est dans la culture plutôt que dans les machines.In the literature on artificial intelligence, the author distinguishes two approaches : the technological approach and the cognitivist approach. He shows that the parallels made between human intelligence and artificial intelligence within the cognitivist approach do not go without saying, and that the theses on artificial intelligence are largely dependent upon certain rationalist and empiricist speculations of classical philosophy. He exposes the principal problem that then encounters an understanding of human intelligence in the light of the cognitivist approach, namely the necessity to obliterate the semantic dimension and to profess a radical solipsism, and he pleads for an understanding of human intelligence commensurable with what it is in culture rather than in machines

    Artificial Intelligence in Radiotherapy

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    Back in 1999, Bill Gates wrote about advances expected to take place in the healthcare of the future in his book “Business at the speed of thought”. He described the complete flow of information in a pathway surrounding a patient picked up by the ambulance to the moment of discharge from the hospital, including presentation of patient’s status in the ambulance, signing off of the documents on the go, analysis of the best treatment options by the doctors based on the digital documents prior to patient’s arrival to the hospital, digital decision making, treatment prescription and delivery, and even payment. The whole process was presented as an operational improvement that will help medical systems become smarter with patients. This may not be the first time the idea of information technologies has been used in the context of medicine but it has most definitely sealed the direction in which modern medicine was inclined to go. Radiation therapy is a branch of medicine that has been heavily dependent on information technologies since 1970s and 1980s, which are considered as the age when orthovoltage era has ended and the new innovative era began. The next milestone in development happened in 1990s when the use of sophisticated computer technology allowed for the development of 3D conformal radiotherapy and later other types of more complex treatment options. Use of computers has not only helped develop treatment options but has also found its use in the radiotherapy process

    What to Read: A Biased Guide to AI Literacy for the Beginner

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    Acknowledgements. It was Ken Forbus' idea, and he, Howie Shrobe, Dan Weld, and John Batali read various drafts. Dan Huttenlocher and Tom Knight helped with the speech recognition section. The science fiction section was prepared with the aid of my SF/AI editorial board, consisting of Carl Feynman and David Wallace, and of the ArpaNet SF-Lovers community. Even so, all responsibility rests with me.This note tries to provide a quick guide to AI literacy for the beginning AI hacker and for the experienced AI hacker or two whose scholarship isn't what it should be. most will recognize it as the same old list of classic papers, give or take a few that I feel to be under- or over-rated. It is not guaranteed to be thorough or balanced or anything like that.MIT Artificial Intelligence Laborator

    Experiments in representing design knowledge for arid lands design

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    Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 1987.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.Includes bibliographical references (leaves 54-55).This thesis proposes, through a multi-layered exploration, the development of a system of computer tools for architects. The research consists of a series of "design sessions" in the context of a desert design problem. The goal is to create a knowledge-based system using a commercially available expert shell, which provides the designer with an automated interface to visual references. Data can be seen as a collection of things, while knowledge can be similarly seen as a collection of relationships between things. An expert shell is literally a program that is "empty" of knowledge, and into which a designer puts know ledge: a knowledge-base is the result. The shell itself acts as a means of manipulating that knowledge-base by an inference process that is activated by rules, or hypotheses and tests. The experimental framework of the thesis is devised to evaluate both type of inference processes in relation to their capabilities for representing design knowledge. The design problem serves to outline a methodology for understanding the process of design, but it also is the means by which a design grammar and syntax appropriate to the automated system are formally described. The intent is not to compile a vast domain of knowledge on all issues of arid lands design, but to focus on a specific architectural response to the climate: the relationship between the primary structural system and the secondary closure system. The design of a window system is the vehicle for documenting observations of the way visual references are used. From this process a descriptive system and body of "expert" rules are developed to define the function of the automated environment. The larger goal is to then relate the syntactical environment to a general image referencing system so that the expert system can act as a personal design consultant. The image referencing system is a distinct and important component of the automated environment, and as such a detailed specification of its nature and operation is intended to show the interdependence of the knowledge-base and a visual database.by Andrew M. Bennett.M.Arch
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