Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
85
Simulation as an Environment for the Knowledge Acquisition of Procedural Expertise
"... : Knowledge engineering is the discipline of encoding the knowledge of an expert into an operational form such as an expert system. Some forms of expertise, "show me" rather than "tell me", are not readily available to linguistic access by the expert or to symbolic codification ..."
Abstract
- Add to MetaCart
codification by a knowledge engineer. Behavioural cloning, in which examples of expert behaviour, are generalised into a performance model by machine learning techniques is one strategy. This work has been focused on building a controller for dynamic systems. A variant which is more formal in the knowledge
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract
-
Cited by 122 (0 self)
- Add to MetaCart
. At the level of personality, the process of socialization becomes customized, individualized, and made out of composite models. The autonomous ability to reprogramme one's own personality, in interaction with an environment of networks, becomes the crucial feature for psychological balance, replacing
Design-Oriented Pedagogy for Technology-Enhanced Learning to Cross Over the Borders between Formal and Informal Environments
"... Abstract: In this paper, we introduce an instructional model for technology-enhanced learning in the framework of a design-oriented pedagogy. The model is based on the collaborative designing of learning objects representing real objects in nature and culture environments. Project-based learning, w ..."
Abstract
- Add to MetaCart
Abstract: In this paper, we introduce an instructional model for technology-enhanced learning in the framework of a design-oriented pedagogy. The model is based on the collaborative designing of learning objects representing real objects in nature and culture environments. Project-based learning
Discretion within constraint: Homophily and structure in a formal organization
- Organization Science
, 2013
"... H omophily in social relations results from both individual preferences and selective opportunities for interaction, but how these two mechanisms interact in large, contemporary organizations is not well understood. We argue that organizational structures and geography delimit opportunities for int ..."
Abstract
-
Cited by 10 (2 self)
- Add to MetaCart
influenced by a firm's organizational structure and by its geography: unsurprisingly, people are far more likely to interact if they are assigned to the same business unit, job function, or office building, as well as if they share overlapping affiliations in work groups and other quasi-formal
Simborgs: Towards the building of simulated human users for interactive systems design
- in 48th Annual Conference of the Human Factors and Ergonomics Society, Human Factors and Ergonomics Society
, 2004
"... We propose an approach to the cognitive engineering of integrated task environments by the use of simulated cyborgs (simBorgs). SimBorgs combine high-fidelity computational cognitive models with lowfidelity artificial intelligence (AI) based reasoning components. This combination of cognitive modeli ..."
Abstract
-
Cited by 5 (5 self)
- Add to MetaCart
regression, or an AI-system than it is to build a high-fidelity computational cognitive model. For example, Deep Blue beat Gary Kasparov at Chess. However, Deep Blue was not a model of human chess playing expertise. Designing an AI system that will beat the world’s best human at chess has been done
Frameworks based on templates for rigorous model-driven development
- University of Eindhoven
, 2005
"... The engineering of systems that are acceptably correct is a hard problem. On the one hand, semi-formal modelling approaches that are used in practical, large-scale system development, such as the UML, are not amenable to formal analysis and consistency checking. On the other hand, formal modelling a ..."
Abstract
-
Cited by 3 (1 self)
- Add to MetaCart
and analysis requires a level of competence and expertise that is not common in commercial development communities, and formal approaches are not well integrated with the rest of the development process. This paper advocates an approach to building engineering environments (or frameworks) for rigorous model
Two "Hot Issues " in Cooperative Robotics: Network Robot Systems, and Formal Models and Methods for Cooperation A white paper from the EURON Special Interest Group on Cooperative Robotics
, 2008
"... This white paper on two currently hot areas on Cooperative Robotics research (Network Robot Systems and Formal Models and Methods) aims to: (1) survey the state of the art for the two areas, (2) list in a justified manner their expected advances in the upcoming ten years, (3) identify the applicatio ..."
Abstract
- Add to MetaCart
This white paper on two currently hot areas on Cooperative Robotics research (Network Robot Systems and Formal Models and Methods) aims to: (1) survey the state of the art for the two areas, (2) list in a justified manner their expected advances in the upcoming ten years, (3) identify
Automated Decomposition of Model-based Learning Problems
- In Proc. 10th International Workshop on Qualitative Reasoning
, 1996
"... A new generation of sensor rich, massively distributed autonomous systems is being developed that has the potential for unprecedented performance, such as smart buildings, reconfigurable factories, adaptive traffic systems and remote earth ecosystem monitoring. To achieve high performance these mass ..."
Abstract
-
Cited by 11 (5 self)
- Add to MetaCart
these massive systems will need to accurately model themselves and their environment from sensor information. Accomplishing this on a grand scale requires automating the art of large-scale modeling. This paper presents a formalization of decompositional, model-based learning (DML), a method developed
Overview of Decompositional, Model-based Learning
"... A new generation of sensor rich, massively distributed autonomous systems are being developed that have the potential for unprecedented performance, such as smart buildings, reconfigurable factories, adaptive traffic systems and remote earth ecosystem monitoring. To achieve high performance these ma ..."
Abstract
- Add to MetaCart
these massive systems will need to accurately model themselves and their environment from sensor information. Accomplishing this on a grand scale requires automating the art of large-scale modeling. This paper presents a formalization of decompositional, model-based learning (DML), a method developed
NETWORKS AS VITAL PART OF THE DESIGN AND IMPLEMENTATION OF A TECHNOLOGY-SUPPORTED LEARNING ENVIRONMENT
, 1029
"... The ModellingSpace (MS) project is concerned with developing and implementing a computer-based modelling learning environment in actual school contexts and preparing an education programme for the teachers involved in it. The paper describes the conceptual framework of setting up human networks and ..."
Abstract
- Add to MetaCart
of the created expertise. It will thus allow to improve the efficiency of future actions in relation to the use of ICT-rich environments in education while also promoting a more formal “driving ” of the associated changes.
Results 1 - 10
of
85
