Mindfully Resisting the Bandwagon – IT Implementation and Its Consequences in the Financial Crisis

Although the ”financial meltdown” between 2007 and 2009 can be substantially attributed to herding behaviour in the subprime market for credit default swaps, a “mindless” IT implementation of participating financial services providers played a major role in the facilitation of the underlying bandwagon. The problem was a discrepancy between two core complementary capabilities: (1.) the (economic-rationalistic) ability to execute financial transactions (to comply with the herd) in milliseconds and (2.) the required contextualized mindfulness capabilities to comprehend the implications of the transactions being executed and the associated IT innovation decisions that enabled these transactions

Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks

Advanced video classification systems decode video frames to derive the necessary texture and motion representations for ingestion and analysis by spatio-temporal deep convolutional neural networks (CNNs). However, when considering visual Internet-of-Things applications, surveillance systems and semantic crawlers of large video repositories, the video capture and the CNN-based semantic analysis parts do not tend to be co-located. This necessitates the transport of compressed video over networks and incurs significant overhead in bandwidth and energy consumption, thereby significantly undermining the deployment potential of such systems. In this paper, we investigate the trade-off between the encoding bitrate and the achievable accuracy of CNN-based video classification models that directly ingest AVC/H.264 and HEVC encoded videos. Instead of retaining entire compressed video bitstreams and applying complex optical flow calculations prior to CNN processing, we only retain motion vector and select texture information at significantly-reduced bitrates and apply no additional processing prior to CNN ingestion. Based on three CNN architectures and two action recognition datasets, we achieve 11%-94% saving in bitrate with marginal effect on classification accuracy. A model-based selection between multiple CNNs increases these savings further, to the point where, if up to 7% loss of accuracy can be tolerated, video classification can take place with as little as 3 kbps for the transport of the required compressed video information to the system implementing the CNN models

Peer-to-peer:is deviant behavior the norm on P2P file-sharing networks?

P2P file-sharing networks such as Kazaa, eDonkey, and Limewire boast millions of users. Because of scalability concerns and legal issues, such networks are moving away from the semicentralized approach that Napster typifies toward more scalable and anonymous decentralized P2P architectures. Because they lack any central authority, these networks provide a new, interesting context for the expression of human social behavior. However, the activities of P2P community members are sometimes at odds with what real-world authorities consider acceptable. One example is the use of P2P networks to distribute illegal pornography. To gauge the form and extent of P2P-based sharing of illegal pornography, we analyzed pornography-related resource-discovery traffic in the Gnutella P2P network. We found that a small yet significant proportion of Gnutella activity relates to illegal pornography: for example, 1.6 percent of searches and 2.4 percent of responses are for this type of material. But does this imply that such activity is widespread in the file-sharing population? On the contrary, our results show that a small yet particularly active subcommunity of users searches for and distributes illegal pornography, but it isn't a behavioral norm

Modeling economic systems as locally-constructive sequential games

Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling approach, Agent-based Computational Economics, that permits researchers to study economic systems from this point of view. ACE modeling principles and objectives are first concisely presented and explained. The remainder of the paper then highlights challenging issues and edgier explorations that ACE researchers are currently pursuing

The role of falsification in the development of cognitive architectures: insights from a Lakatosian analysis

It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell’s own candidate cognitive architecture adhered only loosely to Lakatosian principles. This paper reconsiders the role of falsification and the potential utility of Lakatosian principles in the development of cognitive architectures. It is argued that a lack of direct falsifiability need not undermine the scientific development of a cognitive architecture if broadly Lakatosian principles are adopted. Moreover, it is demonstrated that the Lakatosian concepts of positive and negative heuristics for theory development and of general heuristic power offer methods for guiding the development of an architecture and for evaluating the contribution and potential of an architecture’s research program

Configuring the Networked Citizen

Among legal scholars of technology, it has become commonplace to acknowledge that the design of networked information technologies has regulatory effects. For the most part, that discussion has been structured by the taxonomy developed by Lawrence Lessig, which classifies code as one of four principal regulatory modalities, alongside law, markets, and norms. As a result of that framing, questions about the applicability of constitutional protections to technical decisions have taken center stage in legal and policy debates. Some scholars have pondered whether digital architectures unacceptably constrain fundamental liberties, and what public design obligations might follow from such a conclusion. Others have argued that code belongs firmly on the private side of the public/private divide because it originates in the innovative activity of private actors. In a forthcoming book, the author argues that the project of situating code within one or another part of the familiar constitutional landscape too often distracts legal scholars from more important questions about the quality of the regulation that networked digital architectures produce. The gradual, inexorable embedding of networked information technologies has the potential to alter, in largely invisible ways, the interrelated processes of subject formation and culture formation. Within legal scholarship, the prevailing conceptions of subjectivity tend to be highly individualistic, oriented around the activities of speech and voluntary affiliation. Subjectivity also tends to be understood as definitionally independent of culture. Yet subjectivity is importantly collective, formed by the substrate within which individuality emerges. People form their conceptions of the good in part by reading, listening, and watching—by engaging with the products of a common culture—and by interacting with one another. Those activities are socially and culturally mediated, shaped by the preexisting communities into which individuals are born and within which they develop. They are also technically mediated, shaped by the artifacts that individuals encounter in common use. The social and cultural patterns that mediate the activities of self-constitution are being reconfigured by the pervasive adoption of technical protocols and services that manage the activities of content delivery, search, and social interaction. In developed countries, a broad cross-section of the population routinely uses networked information technologies and communications devices in hundreds of mundane, unremarkable ways. We search for information, communicate with each other, and gain access to networked resources and services. For the most part, as long as our devices and technologies work as expected, we give little thought to how they work; those questions are understood to be technical questions. Such questions are better characterized as sociotechnical. As networked digital architectures increasingly mediate the ordinary processes of everyday life, they catalyze gradual yet fundamental social and cultural change. This chapter—originally published in Imagining New Legalities: Privacy and Its Possibilities in the 21st Century, edited by Austin Sarat, Lawrence Douglas, and Martha Merrill Umphrey (2012)—considers two interrelated questions that flow from understanding sociotechnical change as (re)configuring networked subjects. First, it revisits the way that legal and policy debates locate networked information technologies with respect to the public/private divide. The design of networked information technologies and communications devices is conventionally treated as a private matter; indeed, that designation has been the principal stumbling block encountered by constitutional theorists of technology. The classification of code as presumptively private has effects that reach beyond debates about the scope of constitutional guarantees, shaping views about the extent to which regulation of technical design decisions is normatively desirable. This chapter reexamines that discursive process, using lenses supplied by literatures on third-party liability and governance. Second, this chapter considers the relationship between sociotechnical change and understandings of citizenship. The ways that people think, form beliefs, and interact with one another are centrally relevant to the sorts of citizens that they become. The gradual embedding of networked information technologies into the practice of everyday life therefore has important implications for both the meaning and the practice of citizenship in the emerging networked information society. If design decisions are neither merely technical nor presumptively private, then they should be subject to more careful scrutiny with regard to the kind of citizen they produce. In particular, policy-makers cannot avoid engaging with the particular values that are encoded