83,630 research outputs found
Embodied Evolution in Collective Robotics: A Review
This paper provides an overview of evolutionary robotics techniques applied
to on-line distributed evolution for robot collectives -- namely, embodied
evolution. It provides a definition of embodied evolution as well as a thorough
description of the underlying concepts and mechanisms. The paper also presents
a comprehensive summary of research published in the field since its inception
(1999-2017), providing various perspectives to identify the major trends. In
particular, we identify a shift from considering embodied evolution as a
parallel search method within small robot collectives (fewer than 10 robots) to
embodied evolution as an on-line distributed learning method for designing
collective behaviours in swarm-like collectives. The paper concludes with a
discussion of applications and open questions, providing a milestone for past
and an inspiration for future research.Comment: 23 pages, 1 figure, 1 tabl
Human Computation and Convergence
Humans are the most effective integrators and producers of information,
directly and through the use of information-processing inventions. As these
inventions become increasingly sophisticated, the substantive role of humans in
processing information will tend toward capabilities that derive from our most
complex cognitive processes, e.g., abstraction, creativity, and applied world
knowledge. Through the advancement of human computation - methods that leverage
the respective strengths of humans and machines in distributed
information-processing systems - formerly discrete processes will combine
synergistically into increasingly integrated and complex information processing
systems. These new, collective systems will exhibit an unprecedented degree of
predictive accuracy in modeling physical and techno-social processes, and may
ultimately coalesce into a single unified predictive organism, with the
capacity to address societies most wicked problems and achieve planetary
homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added
references to page 1 and 3, and corrected typ
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Ritual performances and collective intelligence: theoretical frameworks for analyising activity patterns in Cloudworks
This paper provides an overview of emerging activity patterns on Cloudworks, a specialised site for sharing and debating ideas as well as resources on teaching, learning and scholarship in education. It provides an overview of activities such as 'flash debates', 'blended workshops' and 'open reviews' and seeks to situate dialogic interchanges and structures of involvement within the following theoretical frameworks: a) Goffman's notions of 'face-work' and 'ritual performance�; and b) and secondly, notions of collective intelligence. The paper argues that these perspectives can offer a unique contribution to the study and analysis of sociality (Bouman et al, 2007) bounded in the context of technologically mediated networked learning, with wider implications for understanding matters of participation, self-representation, reflection and expansion in education
Anthropocene, Capitalocene, Machinocene: Illusions of instrumental reason
In their seminal work, Dialectics of Enlightenment, Horkheimer and Adorno interpreted capitalism as the irrational monetization of nature. In the present work, I analyze three 21st century concepts, Anthropocene, Capitalocene and Machinocene, in light of Horkheimer and Adorno’s arguments and recent arguments from the philosophy of biology. The analysis reveals a remarkable prescience of the term “instrumental reason”, which is present in each of the three concepts in a profound and cryptic way. In my interpretation, the term describes the propensity of science based on the notion of physicalism to interpret nature as the machine analyzable and programmable by the human reason. As a result, the Anthropocene concept is built around the mechanicist model, which may be presented as the metaphor of the car without brakes. In a similar fashion, the Machinocene concept predicts the emergence of the mechanical mind, which will dominate nature in the near future. Finally, the Capitalocene concept turns a perfectly rational ambition to expand knowledge into an irrational obsession with over-knowledge, by employing the institutionalized science as the engine of capitalism without brakes. The common denominator of all three concepts is the irrational propensity to legitimize self-destruction. Potential avenues for countering the effects of “instrumental reason” are suggested
Human Communication Systems Evolve by Cultural Selection
Human communication systems, such as language, evolve culturally; their
components undergo reproduction and variation. However, a role for selection in
cultural evolutionary dynamics is less clear. Often neutral evolution (also
known as 'drift') models, are used to explain the evolution of human
communication systems, and cultural evolution more generally. Under this
account, cultural change is unbiased: for instance, vocabulary, baby names and
pottery designs have been found to spread through random copying.
While drift is the null hypothesis for models of cultural evolution it does
not always adequately explain empirical results. Alternative models include
cultural selection, which assumes variant adoption is biased. Theoretical
models of human communication argue that during conversation interlocutors are
biased to adopt the same labels and other aspects of linguistic representation
(including prosody and syntax). This basic alignment mechanism has been
extended by computer simulation to account for the emergence of linguistic
conventions. When agents are biased to match the linguistic behavior of their
interlocutor, a single variant can propagate across an entire population of
interacting computer agents. This behavior-matching account operates at the
level of the individual. We call it the Conformity-biased model. Under a
different selection account, called content-biased selection, functional
selection or replicator selection, variant adoption depends upon the intrinsic
value of the particular variant (e.g., ease of learning or use). This second
alternative account operates at the level of the cultural variant. Following
Boyd and Richerson we call it the Content-biased model. The present paper tests
the drift model and the two biased selection models' ability to explain the
spread of communicative signal variants in an experimental micro-society
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