The Mode of Computing

The Turing Machine is the paradigmatic case of computing machines, but there are others, such as Artificial Neural Networks, Table Computing, Relational-Indeterminate Computing and diverse forms of analogical computing, each of which based on a particular underlying intuition of the phenomenon of computing. This variety can be captured in terms of system levels, re-interpreting and generalizing Newell's hierarchy, which includes the knowledge level at the top and the symbol level immediately below it. In this re-interpretation the knowledge level consists of human knowledge and the symbol level is generalized into a new level that here is called The Mode of Computing. Natural computing performed by the brains of humans and non-human animals with a developed enough neural system should be understood in terms of a hierarchy of system levels too. By analogy from standard computing machinery there must be a system level above the neural circuitry levels and directly below the knowledge level that is named here The mode of Natural Computing. A central question for Cognition is the characterization of this mode. The Mode of Computing provides a novel perspective on the phenomena of computing, interpreting, the representational and non-representational views of cognition, and consciousness.Comment: 35 pages, 8 figure

Learning Automata-based Misinformation Mitigation via Hawkes Processes

Mitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool because they model social network dynamics, which facilitates execution and evaluation of mitigation policies. In this paper, we propose a novel light-weight intervention-based misinformation mitigation framework using decentralized Learning Automata (LA) to control the MHP. Each automaton is associated with a single user and learns to what degree that user should be involved in the mitigation strategy by interacting with a corresponding MHP, and performing a joint random walk over the state space. We use three Twitter datasets to evaluate our approach, one of them being a new COVID-19 dataset provided in this paper. Our approach shows fast convergence and increased valid information exposure. These results persisted independently of network structure, including networks with central nodes, where the latter could be the root of misinformation. Further, the LA obtained these results in a decentralized manner, facilitating distributed deployment in real-life scenarios.acceptedVersio

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