CLiFF Notes: Research in the Language Information and Computation Laboratory of The University of Pennsylvania

This report takes its name from the Computational Linguistics Feedback Forum (CLIFF), an informal discussion group for students and faculty. However the scope of the research covered in this report is broader than the title might suggest; this is the yearly report of the LINC Lab, the Language, Information and Computation Laboratory of the University of Pennsylvania. It may at first be hard to see the threads that bind together the work presented here, work by faculty, graduate students and postdocs in the Computer Science, Psychology, and Linguistics Departments, and the Institute for Research in Cognitive Science. It includes prototypical Natural Language fields such as: Combinatorial Categorial Grammars, Tree Adjoining Grammars, syntactic parsing and the syntax-semantics interface; but it extends to statistical methods, plan inference, instruction understanding, intonation, causal reasoning, free word order languages, geometric reasoning, medical informatics, connectionism, and language acquisition. With 48 individual contributors and six projects represented, this is the largest LINC Lab collection to date, and the most diverse

CLiFF Notes: Research in the Language, Information and Computation Laboratory of the University of Pennsylvania

One concern of the Computer Graphics Research Lab is in simulating human task behavior and understanding why the visualization of the appearance, capabilities and performance of humans is so challenging. Our research has produced a system, called Jack, for the definition, manipulation, animation and human factors analysis of simulated human figures. Jack permits the envisionment of human motion by interactive specification and simultaneous execution of multiple constraints, and is sensitive to such issues as body shape and size, linkage, and plausible motions. Enhanced control is provided by natural behaviors such as looking, reaching, balancing, lifting, stepping, walking, grasping, and so on. Although intended for highly interactive applications, Jack is a foundation for other research. The very ubiquitousness of other people in our lives poses a tantalizing challenge to the computational modeler: people are at once the most common object around us, and yet the most structurally complex. Their everyday movements are amazingly fluid, yet demanding to reproduce, with actions driven not just mechanically by muscles and bones but also cognitively by beliefs and intentions. Our motor systems manage to learn how to make us move without leaving us the burden or pleasure of knowing how we did it. Likewise we learn how to describe the actions and behaviors of others without consciously struggling with the processes of perception, recognition, and language. Present technology lets us approach human appearance and motion through computer graphics modeling and three dimensional animation, but there is considerable distance to go before purely synthesized figures trick our senses. We seek to build computational models of human like figures which manifest animacy and convincing behavior. Towards this end, we: Create an interactive computer graphics human model; Endow it with reasonable biomechanical properties; Provide it with human like behaviors; Use this simulated figure as an agent to effect changes in its world; Describe and guide its tasks through natural language instructions. There are presently no perfect solutions to any of these problems; ultimately, however, we should be able to give our surrogate human directions that, in conjunction with suitable symbolic reasoning processes, make it appear to behave in a natural, appropriate, and intelligent fashion. Compromises will be essential, due to limits in computation, throughput of display hardware, and demands of real-time interaction, but our algorithms aim to balance the physical device constraints with carefully crafted models, general solutions, and thoughtful organization. The Jack software is built on Silicon Graphics Iris 4D workstations because those systems have 3-D graphics features that greatly aid the process of interacting with highly articulated figures such as the human body. Of course, graphics capabilities themselves do not make a usable system. Our research has therefore focused on software to make the manipulation of a simulated human figure easy for a rather specific user population: human factors design engineers or ergonomics analysts involved in visualizing and assessing human motor performance, fit, reach, view, and other physical tasks in a workplace environment. The software also happens to be quite usable by others, including graduate students and animators. The point, however, is that program design has tried to take into account a wide variety of physical problem oriented tasks, rather than just offer a computer graphics and animation tool for the already computer sophisticated or skilled animator. As an alternative to interactive specification, a simulation system allows a convenient temporal and spatial parallel programming language for behaviors. The Graphics Lab is working with the Natural Language Group to explore the possibility of using natural language instructions, such as those found in assembly or maintenance manuals, to drive the behavior of our animated human agents. (See the CLiFF note entry for the AnimNL group for details.) Even though Jack is under continual development, it has nonetheless already proved to be a substantial computational tool in analyzing human abilities in physical workplaces. It is being applied to actual problems involving space vehicle inhabitants, helicopter pilots, maintenance technicians, foot soldiers, and tractor drivers. This broad range of applications is precisely the target we intended to reach. The general capabilities embedded in Jack attempt to mirror certain aspects of human performance, rather than the specific requirements of the corresponding workplace. We view the Jack system as the basis of a virtual animated agent that can carry out tasks and instructions in a simulated 3D environment. While we have not yet fooled anyone into believing that the Jack figure is real , its behaviors are becoming more reasonable and its repertoire of actions more extensive. When interactive control becomes more labor intensive than natural language instructional control, we will have reached a significant milestone toward an intelligent agent

Research in the Language, Information and Computation Laboratory of the University of Pennsylvania

This report takes its name from the Computational Linguistics Feedback Forum (CLiFF), an informal discussion group for students and faculty. However the scope of the research covered in this report is broader than the title might suggest; this is the yearly report of the LINC Lab, the Language, Information and Computation Laboratory of the University of Pennsylvania. It may at first be hard to see the threads that bind together the work presented here, work by faculty, graduate students and postdocs in the Computer Science and Linguistics Departments, and the Institute for Research in Cognitive Science. It includes prototypical Natural Language fields such as: Combinatorial Categorial Grammars, Tree Adjoining Grammars, syntactic parsing and the syntax-semantics interface; but it extends to statistical methods, plan inference, instruction understanding, intonation, causal reasoning, free word order languages, geometric reasoning, medical informatics, connectionism, and language acquisition. Naturally, this introduction cannot spell out all the connections between these abstracts; we invite you to explore them on your own. In fact, with this issue it’s easier than ever to do so: this document is accessible on the “information superhighway”. Just call up http://www.cis.upenn.edu/~cliff-group/94/cliffnotes.html In addition, you can find many of the papers referenced in the CLiFF Notes on the net. Most can be obtained by following links from the authors’ abstracts in the web version of this report. The abstracts describe the researchers’ many areas of investigation, explain their shared concerns, and present some interesting work in Cognitive Science. We hope its new online format makes the CLiFF Notes a more useful and interesting guide to Computational Linguistics activity at Penn

Perspectives on Science and Culture

"Edited by Kris Rutten, Stefaan Blancke, and Ronald Soetaert, Perspectives on Science and Culture explores the intersection between scientific understanding and cultural representation from an interdisciplinary perspective. Contributors to the volume analyze representations of science and scientific discourse from the perspectives of rhetorical criticism, comparative cultural studies, narratology, educational studies, discourse analysis, naturalized epistemology, and the cognitive sciences. The main objective of the volume is to explore how particular cognitive predispositions and cultural representations both shape and distort the public debate about scientific controversies, the teaching and learning of science, and the development of science itself

Sleep, watch, and extended cognition in Spenserian epic and Shakespearean drama / Slaap, wake en gesitueerde cognitie in de epiek van Spenser en het toneelwerk van Shakespeare

Stephanie Schierhuber studied sleep in early modern literature and drama. She found that sleepers use cognitive extension to outsource their attentional capacity during sleep in order to mitigate vulnerability. Her research provides a means for literary scholars to interpret sleep and contributes to the development of extended mind theory. [Full abstracts within the thesis are in English and Dutch

On the Limits of Culture: Why Biology is Important in the Study of Victorian Sexuality

Much recent scholarship in Victorian studies has viewed sexuality as historically contingent and constructed primarily within the realm of discourse or social organization. In contrast, the following study details species-typical and universal aspects of human sexuality that must be adequately theorized if an accurate model of the ideological forces impacting Victorian sexuality is to be fashioned. After a short survey of previous scholarly projects that examine literature through the lens of biology—much of it marred by an obvious antipathy toward all attempts to discover the involvement of ideology in human behavior—this study presents a lengthy primer to the modern study of evolutionary psychology, behavioral genetics, and human sexuality. Because the use of science is still relatively rare in literary studies, the first chapters are designed both to convince the reader of the necessity of considering biology and evolution in examining human sexuality, as well as to provide the general educated scholar in our field with the basic framework of knowledge necessary to follow the remainder of the text. Chapter three follows with a detailed examination of the sources of the political resistance to biological and genetic models of human behavior within liberal arts and social science departments, and chapter four presents an evolutionary and biochemical model for the apprehension of art that locates the origins of culture within the evolutionarily-fashioned brains of individuals and attempts to recuperate the concept of aesthetic emotion and foreground the special nature of erotica in its ability to produce immediate neurochemical effects in the brains of its consumers. Finally, the study examines works of Victorian literature, especially My Secret Life, to demonstrate the deficiencies in constructionist and interactionist theories of human sexuality while detailing the new readings that emerge when one is aware of the biological basis of human mate selection mechanisms

Barry Smith an sich

Festschrift in Honor of Barry Smith on the occasion of his 65th Birthday. Published as issue 4:4 of the journal Cosmos + Taxis: Studies in Emergent Order and Organization. Includes contributions by Wolfgang Grassl, Nicola Guarino, John T. Kearns, Rudolf Lüthe, Luc Schneider, Peter Simons, Wojciech Żełaniec, and Jan Woleński

1993 Annual report on scientific programs: A broad research program on the sciences of complexity

This report provides a summary of many of the research projects completed by the Santa Fe Institute (SFI) during 1993. These research efforts continue to focus on two general areas: the study of, and search for, underlying scientific principles governing complex adaptive systems, and the exploration of new theories of computation that incorporate natural mechanisms of adaptation (mutation, genetics, evolution)

Depression, Volition, and Death: The Effect of Depressive Disorders on the Autonomous Choice to Forgo Medical Treatment

Many contemporary models of medical ethics champion patient autonomy to counterbalance historically paternalistic decision-making processes. These models tend to suggest an autonomous agent free from cognitive bias and systematic distortion (e.g., Kantian or Cartesian rational agents). Evidence is emerging from the fields of cognitive psychology, cognitive science, and neuroscience that fundamentally challenge this cognitive model, demonstrating the dependence of cognition on deeper, avolitional structures (e.g., backstage cognition, cognitive heuristics and biases, automaticity, emotionally-valenced memory, etc.), and hence, shifting the cognitive model towards reductionistic and deterministic philosophies and psychologies. Medical ethics models must adapt their sense of autonomy in light of these findings if the term is to have any meaning - absent this necessary adaptation, medical ethics centers around a cognitive agent that does not actually exist. In contrast to the homuncular models championed (i.e., overly rationalistic and lacking an account of empirically-validated cognitive phenomena), a cognitive model of autonomy is proposed, along with useful psychometrics and a case metric to assist clinicians in assessing the possibility of compromised autonomy in patients electing to forgo medical treatment