Didactic Networks: A proposal for e-learning content generation

The Didactic Networks proposed in this paper are based on previous publications in the field of the RSR (Rhetorical-Semantic Relations). The RSR is a set of primitive relations used for building a specific kind of semantic networks for artificial intelligence applications on the web: the RSN (Rhetorical-Semantic Networks). We bring into focus the RSR application in the field of elearning, by defining Didactic Networks as a new set of semantic patterns oriented to the development of eleaming applications. The different lines we offer in our research Jail mainly into three levels: • The most basic one is in the field of computational linguistics and related to Logical Operations on RSR (RSR Inverses and plurals. RSR combinations, etc), once they have been created. The application of Walter Bosma 's results regarding rhetorical distance application and treatment as semantic weighted networks is one of the important issues here. • In parallel, we have been working on the creation of a knowledge representation and storage model and data architecture capable of supporting the definition of knowledge networks based on RSR. • The third strategic line is in the meso-level, the formulation of a molecular structure of knowledge based on the most frequently used patterns. The main contribution at this level is the set of Fundamental Cognitive Networks (FCN) as an application of Novak's mental maps proposal. This paper is part of this third intermediate level, and the Fundamental Didactic Networks (FDN) are the result of the application of rhetorical theoiy procedures to the instructional theory. We have formulated a general set of RSR capable of building discourse, making it possible to express any concept, procedure or principle in terms of knowledge nodes and RSRs. The instructional knowledge can then be elaborated in the same way. This network structure expressing the instructional knowledge in terms of RSR makes the objective of developing web-learning lessons semi-automutkally possible, as well as any other type of utilities oriented towards the exploitation of semantic structure, such as the automatic question answering systems

Temporal network analysis: Introduction, methods and detailed tutorial with R

Learning involves relations, interactions and connections between learners, teachers and the world at large. Such interactions are essentially temporal and unfold in time. Yet, researchers have rarely combined the two aspects (the temporal and relational aspects) in an analytics framework. Temporal networks allow modeling of the temporal learning processes i.e., the emergence and flow of activities, communities, and social processes through fine-grained dynamic analysis. This can provide insights into phenomena like knowledge co-construction, information flow, and relationship building. This chapter introduces the basic concepts of temporal networks, their types and techniques. A detailed guide of temporal network analysis is introduced in this chapter, that starts with building the network, visualization, mathematical analysis on the node and graph level. The analysis is performed with a real-world dataset. The discussion chapter offers some extra resources for interested users who want to expand their knowledge of the technique

Innovative interventions in support of innovation networks. A complex system perspective to public innovation policy and private technology brokering

The linear model of innovation has been superseded by a variety of theoretical models that view the innovation process as systemic, complex, multi-level, multi-temporal, involving a plurality of heterogeneous economic agents. Accordingly, the emphasis of the policy discourse has shifted over time. It has gone from a focus on direct public funding of basic research as an engine of innovation, to the creation of markets for knowledge goods, to, eventually, the acknowledgement that knowledge transfer very often requires direct interactions among innovating actors. In most cases, these interventions attempt to facilitate the match between “demand” and “supply” of the knowledge needed to innovate. A complexity perspective calls for a different framing, one focused on the fostering of process characterized by multiple agency levels, multiple temporal scales, ontological uncertainty and emergent outcomes. The article explores what it means to design interventions in support of innovation processes inspired by a complex systems perspective. It does so by analyzing two different examples of coordinated interventions: an innovative public policy funding networks of innovating firms, and a private initiative supporting innovation in the mechanical engineering industry thanks to the set up of a technology broker. Relying on two unique datasets recording the interactions of the various organizations involved in these interventions, the article combines social network analysis and qualitative research in order to investigate the dynamics of the networks and the roles and actions of specific actors in fostering innovation processes. Building upon this comparative analysis, some general implications for the design of coordinated interventions supporting innovation in a complexity perspective are derived.Innovation policy; local development policies; regional development policies; evaluation management

HFR Networks: New concepts and technologies

To study the main trends which drive the merging of fiber and wireless technologies in access networks. As the hybrid radio networks constitute a new and emerging field of knowledge it is difficult to get a clear picture of their main building blocks and basic technologies and concepts. Due to the lack of reference texts with a basic entry level, in this PFC we aim at carrying out a thorough study of the related literature in order to establish a clear classification of systems and techniques, to clarify the basic terms and to study the specific transmission characteristics of hybrid radio links, both from a point to point as well as from a networks management perspective. • Steaming from the above, the main physical effects and phenomena around optical and wireless technologies will be reviewed and the basic analytical as well as computer and simulation tools will be presented along with some simulation examples showing relevant fiber-radio transmission effects and techniques. • The main driver will be to help newcomers to the field to get a fast understanding of the basic related ideas and analysis techniques for hybrid fiber-radio networks. • In this regard the key building blocks to implement the HFR's networks will be identified. These should include underlying concepts such as working frequencies, general structure for the coexistence of wireless and fiber technologies, the network components and topologies proposed, as well as the hybrid link's features, characterizing parameters and main impairments that degrade the quality of transmission

Reusable Knowledge-based Components for Building Software Applications: A Knowledge Modelling Approach

In computer science, different types of reusable components for building software applications were proposed as a direct consequence of the emergence of new software programming paradigms. The success of these components for building applications depends on factors such as the flexibility in their combination or the facility for their selection in centralised or distributed environments such as internet. In this article, we propose a general type of reusable component, called primitive of representation, inspired by a knowledge-based approach that can promote reusability. The proposal can be understood as a generalisation of existing partial solutions that is applicable to both software and knowledge engineering for the development of hybrid applications that integrate conventional and knowledge based techniques. The article presents the structure and use of the component and describes our recent experience in the development of real-world applications based on this approach

Defining systems of innovation: a methodological discussion

Current definitions of systems of innovation (SI) which define SI in institutional terms only, do not resolve difficulties encountered when conceptualizing this notion. This paper develops a conceptual framework for a more structured understanding of SI based on four building blocks: technological regime, institutional set-up, market, and pre-market selection environments. SI can then be defined as the co-evolution of technological regimes and institutional set-up molded by the mechanisms of market and pre-market selection. (C) 1998 Elsevier Science Ltd. Air rights reserved

Towards an Architecture for Semiautonomous Robot Telecontrol Systems.

The design and development of a computational system to support robot–operator collaboration is a challenging task, not only because of the overall system complexity, but furthermore because of the involvement of different technical and scientific disciplines, namely, Software Engineering, Psychology and Artificial Intelligence, among others. In our opinion the approach generally used to face this type of project is based on system architectures inherited from the development of autonomous robots and therefore fails to incorporate explicitly the role of the operator, i.e. these architectures lack a view that help the operator to see him/herself as an integral part of the system. The goal of this paper is to provide a human-centered paradigm that makes it possible to create this kind of view of the system architecture. This architectural description includes the definition of the role of operator and autonomous behaviour of the robot, it identifies the shared knowledge, and it helps the operator to see the robot as an intentional being as himself/herself

A framework for modelling mobile radio access networks for intelligent fault management

Postprin

Building knowledge for Aboriginal and Torres Strait Islander remote tourism: lessons from comparable tourism initiatives around the world

This report aims to build knowledge about what issues Aboriginal and Torres Strait Islander people may need to consider in remote tourism by reviewing, compiling and drawing insights from comparable tourism initiatives around the world.The report is based on information from a range of sources that highlight remote tourism issues at many different levels of strategy and development , from the micro level of ensuring engagement with local service providers, to the broad level of collaboration strategies with diverse interest groups. The examples identify a wealth of remote tourism roles available to Aboriginal and Torres Strait Islander people, demonstrating that remote tourism is complicated and people should examine which roles are appropriate and achievable.The report covers the main remote area landscape settings: remote arid and semi-arid areas (deserts), remote rainforests, remote high altitude mountainous areas, and remote cold and warm water islands. Each section discusses a collection of cases and other tourism initiatives by people s indigenous to the respective remote landscape settings. Many cases illustrate the desires of people around the world to preserve natural and cultural qualities while sharing remote areas through tourism. Summaries from each case identify issues that progressively build further insight into the challenges and strategies people from around the world have applied to remote tourism.A limitation of the report is that the review provides a snapshot of remote tourism activity throughout the world; it has not been able to say which of these activities are sustainable. Nevertheless, this approach uncovers the gravity of challenges faced by Indigenous peoples around the world involved in remote tourism, with the common dependence on external sources particularly noted. While presenting the strategies used in the various international contexts to contend with the challenges, the report suggests that local knowledge and insight cannot be underestimated as a major factor in developing successful Aboriginal and Torres Strait Islander tourism businesses