Establishment of collaborative networks – a model-driven engineering approach based on thermodynamics

The setup of an efficient collaborative situation between organizations can be considered according to four main complementary dimensions: the context (geographical, social, economical environment), the partners (the actors, their capabilities, their resources and their relationships), the objectives (the collaborative goals of the network, the risks to be avoided, etc.) and finally the behaviour (the collaborative processes to be implemented by the partners to achieve the objectives considering the context). Some research works try to infer the behaviour based on the three other issues assumed to be known, by using different approaches such as model-driven engineering (MDE), optimization, heuristics, planning, etc. MDE helps studying the opportunity of inferring the objectives part from the context and partners dimensions in order to feed the behaviour issue. We use a non-equilibrium thermodynamics analogy where partners and context attributes and methods are mapped to thermodynamic state variables of an organisation seen as an open system in the frame of dissipative structure thermodynamics. We apply it specifically to enterprises and discuss briefly the analogy of behaviour as an irreversible trajectory aiming to maintain the enterprise activity aliv

A Tentative Framework for Risk and Opportunity Detection in A Collaborative Environment Based on Data Interpretation

This article deals with the question of risk and opportunity identification based on data management as one main step of the convergence of artificial intelligence and industrial engineering. Two main subjects are addressed in this article: (i) the data management framework that could be the backbone for the whole approach, and (ii) the modeling theoretical background that could be used as a basement for the definition of a formal system for risk and opportunity modeling. The general principles presented in the article are used to define outlooks and to organize them as milestone of a roadmap

Machine Hyperconsciousness

Individual animal consciousness appears limited to a single giant component of interacting cognitive modules, instantiating a shifting, highly tunable, Global Workspace. Human institutions, by contrast, can support several, often many, such giant components simultaneously, although they generally function far more slowly than the minds of the individuals who compose them. Machines having multiple global workspaces -- hyperconscious machines -- should, however, be able to operate at the few hundred milliseconds characteistic of individual consciousness. Such multitasking -- machine or institutional -- while clearly limiting the phenomenon of inattentional blindness, does not eliminate it, and introduces characteristic failure modes involving the distortion of information sent between global workspaces. This suggests that machines explicitly designed along these principles, while highly efficient at certain sets of tasks, remain subject to canonical and idiosyncratic failure patterns analogous to, but more complicated than, those explored in Wallace (2006a). By contrast, institutions, facing similar challenges, are usually deeply embedded in a highly stabilizing cultural matrix of law, custom, and tradition which has evolved over many centuries. Parallel development of analogous engineering strategies, directed toward ensuring an 'ethical' device, would seem requisite to the sucessful application of any form of hyperconscious machine technology

Innovative learning in action (ILIA) issue five: Learning technologies in the curriculum

Consideration of the papers and snapshots in this edition of Innovative Learning in Action, focused on learning technology, will provide the reader with insights into a range of excellent and innovative approaches to the application of learning technologies to enhance learning both in the classroom and at a distance. It also provides us with examples of how learning technologies can both stimulate and support partnership with staff and students and collaborative learning and working. This edition is particularly timely given the aim of the University’s 2005-2008 Learning Technologies Implementation Plan (LTIP), which is to enhance the quality of, and access to, learning, teaching and assessment by supporting and developing the curriculum through the appropriate and effective use of learning technologies. The LTIP is designed to help us to reach a situation where the effective use of appropriate learning technologies becomes part of our normal teaching, research and enterprise activities, and enhances access to our programmes by all our students whether they are learning on campus, at a distance, or in the workplace. The emphasis at the University of Salford has consistently been on the identification and creative application of the appropriate blends of ICT and traditional methods, shaped by pedagogical, rather than technological drivers, and acknowledging and reflecting different academic contexts and professional and vocational requirements. We have some excellent examples of how this has been achieved here, ILIA once again providing us with an opportunity to reflect on practice and student learning, to share experience and hopefully to identify future areas for collaboration in a key area of curriculum development

Proceedings of the ECCS 2005 satellite workshop: embracing complexity in design - Paris 17 November 2005

Embracing complexity in design is one of the critical issues and challenges of the 21st century. As the realization grows that design activities and artefacts display properties associated with complex adaptive systems, so grows the need to use complexity concepts and methods to understand these properties and inform the design of better artifacts. It is a great challenge because complexity science represents an epistemological and methodological swift that promises a holistic approach in the understanding and operational support of design. But design is also a major contributor in complexity research. Design science is concerned with problems that are fundamental in the sciences in general and complexity sciences in particular. For instance, design has been perceived and studied as a ubiquitous activity inherent in every human activity, as the art of generating hypotheses, as a type of experiment, or as a creative co-evolutionary process. Design science and its established approaches and practices can be a great source for advancement and innovation in complexity science. These proceedings are the result of a workshop organized as part of the activities of a UK government AHRB/EPSRC funded research cluster called Embracing Complexity in Design (www.complexityanddesign.net) and the European Conference in Complex Systems (complexsystems.lri.fr). Embracing complexity in design is one of the critical issues and challenges of the 21st century. As the realization grows that design activities and artefacts display properties associated with complex adaptive systems, so grows the need to use complexity concepts and methods to understand these properties and inform the design of better artifacts. It is a great challenge because complexity science represents an epistemological and methodological swift that promises a holistic approach in the understanding and operational support of design. But design is also a major contributor in complexity research. Design science is concerned with problems that are fundamental in the sciences in general and complexity sciences in particular. For instance, design has been perceived and studied as a ubiquitous activity inherent in every human activity, as the art of generating hypotheses, as a type of experiment, or as a creative co-evolutionary process. Design science and its established approaches and practices can be a great source for advancement and innovation in complexity science. These proceedings are the result of a workshop organized as part of the activities of a UK government AHRB/EPSRC funded research cluster called Embracing Complexity in Design (www.complexityanddesign.net) and the European Conference in Complex Systems (complexsystems.lri.fr)

Institutional paraconsciousness and its pathologies

This analysis extends a recent mathematical treatment of the Baars consciousness model to analogous, but far more complicated, phenomena of institutional cognition. Individual consciousness is limited to a single, tunable, giant component of interacting cognitive modules, instantiating a Global Workspace. Human institutions, by contrast, support several, sometimes many, such giant components simultaneously, although their behavior remains constrained to a topology generated by cultural context and by the path-dependence inherent to organizational history. Such highly parallel multitasking - institutional paraconsciousness - while clearly limiting inattentional blindness and the consequences of failures within individual workspaces, does not eliminate them, and introduces new characteristic dysfunctions involving the distortion of information sent between global workspaces. Consequently, organizations (or machines designed along these principles), while highly efficient at certain kinds of tasks, remain subject to canonical and idiosyncratic failure patterns similar to, but more complicated than, those afflicting individuals. Remediation is complicated by the manner in which pathogenic externalities can write images of themselves on both institutional function and therapeutic intervention, in the context of relentless market selection pressures. The approach is broadly consonant with recent work on collective efficacy, collective consciousness, and distributed cognition

DOC 2008-03 University of Dayton Proposal for New Graduate Degree Program: Master of Science in Bioengineering

Official, approved document of the Academic Senate of the University of Dayton