Mind over machine : what Deep Blue taught us about chess, artificial intelligence, and the human spirit

Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Humanities, Graduate Program in Science Writing, 2007."September 2007."Includes bibliographical references (leaves 44-49).On May 11th 1997, the world watched as IBM's chess-playing computer Deep Blue defeated world chess champion Garry Kasparov in a six-game match. The reverberations of that contest touched people, and computers, around the world. At the time, it was difficult to assess the historical significance of the moment, but ten years after the fact, we can take a fresh look at the meaning of the computer's victory. With hindsight, we can see how Deep Blue impacted the chess community and influenced the fields of philosophy, artificial intelligence, and computer science in the long run. For the average person, Deep Blue embodied many of our misgivings about computers becoming our new partners in the information age. For researchers in the field it was emblematic of the growing pains experienced by the evolving field of AI over the previous half century. In the end, what might have seemed like a definitive, earth-shattering event was really the next step in our on-going journey toward understanding mind and machine. While Deep Blue was a milestone - the end of a long struggle to build a masterful chess machine - it was also a jumping off point for other lines of inquiry from new supercomputing projects to the further development of programs that play other games, such as Go. Ultimately, the lesson of Deep Blue's victory is that we will continue to accomplish technological feats we thought impossible just a few decades before. And as we reach each new goalpost, we will acclimate to our new position, recognize the next set of challenges before us, and push on toward the next target.by Barbara Christine Hoekenga.S.M.in Science Writin

Critical Programming: Toward a Philosophy of Computing

Beliefs about the relationship between human beings and computing machines and their destinies have alternated from heroic counterparts to conspirators of automated genocide, from apocalyptic extinction events to evolutionary cyborg convergences. Many fear that people are losing key intellectual and social abilities as tasks are offloaded to the everywhere of the built environment, which is developing a mind of its own. If digital technologies have contributed to forming a dumbest generation and ushering in a robotic moment, we all have a stake in addressing this collective intelligence problem. While digital humanities continue to flourish and introduce new uses for computer technologies, the basic modes of philosophical inquiry remain in the grip of print media, and default philosophies of computing prevail, or experimental ones propagate false hopes. I cast this as-is situation as the post-postmodern network dividual cyborg, recognizing that the rational enlightenment of modernism and regressive subjectivity of postmodernism now operate in an empire of extended mind cybernetics combined with techno-capitalist networks forming societies of control. Recent critical theorists identify a justificatory scheme foregrounding participation in projects, valorizing social network linkages over heroic individualism, and commending flexibility and adaptability through life long learning over stable career paths. It seems to reify one possible, contingent configuration of global capitalism as if it was the reflection of a deterministic evolution of commingled technogenesis and synaptogenesis. To counter this trend I offer a theoretical framework to focus on the phenomenology of software and code, joining social critiques with textuality and media studies, the former proposing that theory be done through practice, and the latter seeking to understand their schematism of perceptibility by taking into account engineering techniques like time axis manipulation. The social construction of technology makes additional theoretical contributions dispelling closed world, deterministic historical narratives and requiring voices be given to the engineers and technologists that best know their subject area. This theoretical slate has been recently deployed to produce rich histories of computing, networking, and software, inform the nascent disciplines of software studies and code studies, as well as guide ethnographers of software development communities. I call my syncretism of these approaches the procedural rhetoric of diachrony in synchrony, recognizing that multiple explanatory layers operating in their individual temporal and physical orders of magnitude simultaneously undergird post-postmodern network phenomena. Its touchstone is that the human-machine situation is best contemplated by doing, which as a methodology for digital humanities research I call critical programming. Philosophers of computing explore working code places by designing, coding, and executing complex software projects as an integral part of their intellectual activity, reflecting on how developing theoretical understanding necessitates iterative development of code as it does other texts, and how resolving coding dilemmas may clarify or modify provisional theories as our minds struggle to intuit the alien temporalities of machine processes

Chiasmic Rhetoric: Alan Turing Between Bodies and Words

This Dissertation analyzes the life and writing of inventor and scientist Alan Turing in order to identify and theorize chiasmic relations between bodies and texts. Chiasmic rhetoric, as I develop throughout the Dissertation, is the dynamic processes between materials and discourses that interact to construct powerful rhetorical effect, shape bodies, and also compose new knowledges. My research here extends our knowledge of the rhetoric of science by demonstrating the ways that Alan Turing\u27s embodied experiences shape his rhetoric. Turing is an unusual figure for research on bodily rhetoric and embodied knowledge. He is often associated with disembodied knowledge and as his inventions are said to move intelligence towards greater abstraction and away from human bodies. However, this Dissertation exposes the many ways that bodies are active in shaping and producing knowledge even within Turing\u27s scientific and technical writing. I identify how, in every text that Turing produces, chiasmic interactions between bodies and texts actively compose Turing\u27s scientific knowledge and technical innovations towards digital computation and artificial intelligence. His knowledge, thus, is not composed out of abstract logic, or neutral technological advances. Rather, his knowledge and invention are composed and in through discourses and embodied experiences. Given that bodies and discourses are also composed within social and political power dynamics, then the political, social, and personal embodied experiences that compose Turing\u27s life and his embodiment also compose his texts, rhetoric, inventions, and science. Throughout the Dissertation, I develop chiasmic rhetoric as it develops in the rhetorical figure of chiasmus, as intersecting bodies and discourse, dynamic and productive, and potentially destabilizing. I conclude by proposing a pedagogy of care and disorientation that are attuned to the complex embodiment of students interacting with texts in our technical writing and composition classrooms

Chat and instant messaging : the risks of secondary orality

The synchronous nature of chat and instant messaging (IM) make them unique among computer-enabled communications technologies in that their real-time exchange of data allows for rich media experiences, even though users can only use text symbols to trade messages. Chat and IM are also important in that they enable secondary orality, or the merger of the most beneficial aspects of orally-based cultures with the well-documented benefits of print and text. Where print in the modem day has fostered contemplative behavior and inward thought among human beings, chat and IM breathe vitality into print and, in a sense, allow print to be spoken. Chat and IM have provided well-documented benefits for business, academia and everyday human socialization. However, when the tools are used beyond these narrow contexts they not only lose their effectiveness; they also pose credible threats to society. Because chat and IM provide anonymity to their participants, the virtual communities they support are typically loosely governed, driven by stereotype, and replete with social deviance. Further, the more attractive online environments become, the less time and energy people will invest in the physical world, thereby threatening that the habitats of humans will ultimately wither and decay. Finally, as humans become less able to extricate themselves from their computer-enabled habitats, they will increasingly rely on the computer as a social prosthetic--if not evolve to the point where human beings and computers become indistinguishable

Cyber-Human Systems, Space Technologies, and Threats

CYBER-HUMAN SYSTEMS, SPACE TECHNOLOGIES, AND THREATS is our eighth textbook in a series covering the world of UASs / CUAS/ UUVs / SPACE. Other textbooks in our series are Space Systems Emerging Technologies and Operations; Drone Delivery of CBNRECy – DEW Weapons: Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD); Disruptive Technologies with applications in Airline, Marine, Defense Industries; Unmanned Vehicle Systems & Operations On Air, Sea, Land; Counter Unmanned Aircraft Systems Technologies and Operations; Unmanned Aircraft Systems in the Cyber Domain: Protecting USA’s Advanced Air Assets, 2nd edition; and Unmanned Aircraft Systems (UAS) in the Cyber Domain Protecting USA’s Advanced Air Assets, 1st edition. Our previous seven titles have received considerable global recognition in the field. (Nichols & Carter, 2022) (Nichols, et al., 2021) (Nichols R. K., et al., 2020) (Nichols R. , et al., 2020) (Nichols R. , et al., 2019) (Nichols R. K., 2018) (Nichols R. K., et al., 2022)https://newprairiepress.org/ebooks/1052/thumbnail.jp

Merging the Natural with the Artificial: The Nature of a Machine and the Collapse of Cybernetics

This thesis is concerned with the rise and fall of cybernetics, understood as an inquiry regarding the nature of a machine. The collapse of this scientific movement, usually explained by external factors such as lack of funding, will be addressed from a philosophical standpoint. Delving deeper into the theoretical core of cybernetics, one could find that the contributions of William Ross Ashby and John von Neumann shed light onto the particular ways in which cybernetics understood the nature and behavior of a machine. Ross Ashby offered an account of the nature of a machine and then extended the scope of “the mechanical”. This extension would encompass areas that will later be shown to be problematic for mechanization, such as learning and adaptation. The way in which a machine-ontology was applied would trigger effects seemingly contrary to cybernetics’ own distinctive features. Von Neumann, on the other hand, tinkered with a mechanical model of the brain, realizing grave limitations that prompted him to look for an alternative for cybernetics to work on. The proposal that came out of this resulted in a serious blow against the theoretical core of cybernetics. Why did cybernetics collapse? The contributions coming from both thinkers, in their own ways, spelled out the main tenets of the cybernetic proposal. But these very contributions led to cybernetics’ own demise. The whole story can be framed under the rubric of a serious inquiry into the metaphysical underpinnings of a machine. The rise and fall of cybernetics could thus help us better understand what a machine is from a philosophical standpoint. Although a historical component is present, my emphasis relies on a philosophical consideration of the cybernetic phenomenon. This metaphysical dissection will attempt to clarify how a machine-based ontology remained at the core of cybernetics. An emerging link will hopefully lead towards establishing a tri-partite correlation between cybernetics’ own evolution, its theoretical core, and its collapse. It will hopefully show how cybernetic inquiries into the nature of a machine might have proved fatal to the very enterprise at large, due to unsolvable theoretical tensions

Architects of a new intelligence

Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Humanities, Graduate Program in Science Writing, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 57-62).The modem world is awash in technology, little of which amazes like artificial intelligence. Siri speaks to us out of our iPhones. Google answers our every question. Watson, IBM's Jeopardy!-playing supercomputer, is popularly perceived as a hair's breadth from Arthur C. Clarke's HAL 9000. But the truth of the matter is that all these technologies are far more artificial than they are intelligent. They are designed to give an impression of intelligence, a ruse at which many of them succeed. But none of them begins to approach the all-purpose intelligence of even a human child. Siri and Watson and Google and all other existing AI is what researchers refer to as "narrow" -adept at one task only. But there is a small community of scientists who are working toward "strong" AI: a synthetic intelligence as flexible, as adaptable, and as genuinely intelligent as any human being. Strong AI is an innately interdisciplinary effort at the intersection of neuroscience, cognitive psychology, and computer science, among others. Each of these fields is coming to understand the challenge in its own way, and each has its champions. Little is clear. Few agree on how best to build strong AL, and none can foresee its consequences. But one thing is certain: in constructing this new intelligence we will take our cues from an understanding of the human mind. And so the quest for strong AI ultimately becomes the quest to understand ourselves.by Stephen Paul Craft.S.M.in Science Writin

Understanding computer game culture: the cultural shaping of a new medium

In the past few decades, video games have developed from a marginal technological experiment into a mainstream medium. During this period they have gone through several transformations, from arcade machines offering a few minutes of solitary fun for a quarter to monthly subscription-based online MMOs in which thousands of players spend hundreds or even thousands of hours and lead a significant part of their social life as a fantasy character. But what is it that has driven video games? development? Is it technology? Indeed, with every new generation of hardware, game designers were given a broader set of tools for evoking exhilarating experiences. But is not culture at least as important? What would games look like if Tolkien never had written Lord of the Rings, or if Nintendo had not brought Japanese manga drawing styles to the new medium? This book looks at the theoretical challenges and foundations on which to base a cultural shaping approach towards the evolution of video games and proposes a set of concepts for analyzing and describing this process