Synthetic Semiotics: on modelling and simulating the \ud emergence of sign processes

Based on formal-theoretical principles about the \ud sign processes involved, we have built synthetic experiments \ud to investigate the emergence of communication based on \ud symbols and indexes in a distributed system of sign users, \ud following theoretical constraints from C.S.Peirce theory of \ud signs, following a Synthetic Semiotics approach. In this paper, we summarize these computational experiments and results regarding associative learning processes of symbolic sign modality and cognitive conditions in an evolutionary process for the emergence of either symbol-based or index-based communication

Evolution of Symbolisation in Chimpanzees and Neural Nets

from Introduction: Animal communication systems and human languages can be characterised by the type of cognitive abilities that are required. If we consider the main semiotic distinction between communication using icons, signals, or symbols (Peirce, 1955; Harnad, 1990; Deacon, 1997) we can identify different cognitive loads for each type of reference. The use and understanding of icons require instinctive behaviour (e.g. emotions) or simple perceptual processes (e.g. visual similarities between an icon and its meaning). Communication systems that use signals are characterised by referential associations between objects and visual or auditory signals. They require the cognitive ability to learn stimulus associations, such as in conditional learning. Symbols have double associations. Initially, symbolic systems require the establishment of associations between signals and objects. Secondly, other types of relationships are learned between the signals themselves. The use of rule for the logical combination of symbols is an example of symbolic relationship. Symbolisation is the ability to acquire and handle symbols and symbolic relationships

The EPSRC's policy of responsible innovation from a trading zones perspective

Responsible innovation (RI) is gathering momentum as an academic and policy debate linking science and society. Advocates of RI in research policy argue that scientific research should be opened up at an early stage so that many actors and issues can steer innovation trajectories. If this is done, they suggest, new technologies will be more responsible in different ways, better aligned with what society wants, and mistakes of the past will be avoided. This paper analyses the dynamics of RI in policy and practice and makes recommendations for future development. More specifically, we draw on the theory of ‘trading zones’ developed by Peter Galison and use it to analyse two related processes: (i) the development and inclusion of RI in research policy at the UK’s Engineering and Physical Sciences Research Council (EPSRC); (ii) the implementation of RI in relation to the Stratospheric Particle Injection for Climate Engineering (SPICE) project. Our analysis reveals an RI trading zone comprised of three quasi-autonomous traditions of the research domain – applied science, social science and research policy. It also shows how language and expertise are linking and coordinating these traditions in ways shaped by local conditions and the wider context of research. Building on such insights, we argue that a sensible goal for RI policy and practice at this stage is better local coordination of those involved and we suggest ways how this might be achieved

Emergence of Self-Organized Symbol-Based Communication \ud in Artificial Creatures

In this paper, we describe a digital scenario where we simulated the emergence of self-organized symbol-based communication among artificial creatures inhabiting a \ud virtual world of unpredictable predatory events. In our experiment, creatures are autonomous agents that learn symbolic relations in an unsupervised manner, with no explicit feedback, and are able to engage in dynamical and autonomous communicative interactions with other creatures, even simultaneously. In order to synthesize a behavioral ecology and infer the minimum organizational constraints for the design of our creatures, \ud we examined the well-studied case of communication in vervet monkeys. Our results show that the creatures, assuming the role of sign users and learners, behave collectively as a complex adaptive system, where self-organized communicative interactions play a \ud major role in the emergence of symbol-based communication. We also strive in this paper for a careful use of the theoretical concepts involved, including the concepts of symbol and emergence, and we make use of a multi-level model for explaining the emergence of symbols in semiotic systems as a basis for the interpretation of inter-level relationships in the semiotic processes we are studying

Towards a Re-Definition of Government Interpreters' Agency Against a Backdrop of Sociopolitical and Cultural Evolution: A Case of Premier's Press Conferences in China

The sociopolitical and cultural evolution as a result of the Reform and Opening up in 1978, facilitated not least by the inexorable juggernaut of globalization and technological advancement, has revolutionized the way China engages domestically and interacts with the outside world. The need for more proactive diplomacy and open engagement witnessed the institutionalization of the interpreter-mediated premier's press conferences. Such a discursive event provides a vital platform for China to articulate its discourse and rebrand its image in tandem with the profound changes signaled by the Dengist reform. This chapter investigates critically how political press conference interpreting and interpreters' agency in China are impacted in relation to such dramatic transformations. It is revealed that, while interpreters are confronted with seemingly conflicting expectations, in actual practice they are often able to negotiate a way as highly competent interpreting professionals with the additional missions of advancing China's global engagement and safeguarding China's national interests

Towards a Re-Definition of Government Interpreters' Agency Against a Backdrop of Sociopolitical and Cultural Evolution: A Case of Premier's Press Conferences in China

The sociopolitical and cultural evolution as a result of the Reform and Opening up in 1978, facilitated not least by the inexorable juggernaut of globalization and technological advancement, has revolutionized the way China engages domestically and interacts with the outside world. The need for more proactive diplomacy and open engagement witnessed the institutionalization of the interpreter-mediated premier's press conferences. Such a discursive event provides a vital platform for China to articulate its discourse and rebrand its image in tandem with the profound changes signaled by the Dengist reform. This chapter investigates critically how political press conference interpreting and interpreters' agency in China are impacted in relation to such dramatic transformations. It is revealed that, while interpreters are confronted with seemingly conflicting expectations, in actual practice they are often able to negotiate a way as highly competent interpreting professionals with the additional missions of advancing China's global engagement and safeguarding China's national interests

Modeling the structure and evolution of discussion cascades

We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these sites, a preferential attachment (PA) model with bias to the root can capture the temporal evolution of the observed trees and many of their statistical properties, namely, probability distributions of the branching factors (degrees), subtree sizes and certain correlations. The parameters of the model are learned efficiently using a novel maximum likelihood estimation scheme for PA and provide a figurative interpretation about the communication habits and the resulting discussion cascades on the four different websites.Comment: 10 pages, 11 figure