Inventing Organizations of the 21st Century: Producing Knowledge Through Collaboration

This manuscript examines a Process Handbook (PH) special project using a learning history form. A learning history is an assessment-for-learning, designed such that its value is derived when read and discussed by teams interested in similar issues. Its contents come from the people who initiated, implemented, and participated in the documented efforts as well as non-participants who were affected by it. A learning history presents the experiences and understandings of people who have gone through a learning effort in their own words, in a way that helps others move forward without having to "re-invent" what the original group of learners discovered. The content of the learning history creates a context for conversation that teams within organizations wouldn't be able to have otherwise. This learning history, and the PH project it describes, raises issues around knowledge creation and team structures by looking at how a project team of individuals from university, business, and consulting organizations was effective in creating new knowledge. The team members held different predispositions toward theory development, producing business outcomes, and developing capacity for action. Their complementary, and at times conflicting, interests provided a robust structure for knowledge creation. Knowledge created through this team structure is also multidimensional, having theoretical, methodological, and practical components.

An Algorithm for Solving Alive Situation Puzzles in GO Game

Article信州大学工学部紀要 65: 17-24 (1989)departmental bulletin pape

Intelligent perturbation algorithms to space scheduling optimization

The limited availability and high cost of crew time and scarce resources make optimization of space operations critical. Advances in computer technology coupled with new iterative search techniques permit the near optimization of complex scheduling problems that were previously considered computationally intractable. Described here is a class of search techniques called Intelligent Perturbation Algorithms. Several scheduling systems which use these algorithms to optimize the scheduling of space crew, payload, and resource operations are also discussed

Malcolm Chisholm: An Evaluation of Traditional Audio Engineering

The career of longtime Chicago area audio engineer and notable Chess Records session recorder Malcolm Chisholm (1929-2003) serves as a window for assessing the stakes of technological and cultural developments around the birth of Rock & Roll. Chisholm stands within the traditional art-versus-commerce debate as an example of the post-World War II craftsman ethos marginalized by an incoming, corporate-determined paradigm. Contextual maps locate Chisholm’s style and environment of audio production as well as his impact within the rebranding of electrified Blues music into mainstream genres like Rock music. Interviews of former students and professional associates provide first-hand accounts of core philosophies, approaches, and equipment preferences. Opposing recording techniques including isolation versus ambience, live recording versus overdubbing, and the overall tolerance of imperfection distinguish the modern and traditional approaches

A modelling and simulation environment for self-aware and self-expressive systems

Self-awareness and self-expression are promising architectural concepts for embedded systems to be equipped with to match them with dedicated application scenarios and constraints in the avionic and space-flight industry. Typically, these systems operate in largely undefined environments and are not reachable after deployment for a long time or even never ever again. This paper introduces a reference architecture as well as a novel modelling and simulation environment for self-aware and self-expressive systems with transaction level modelling, simulation and detailed modelling capabilities for hardware aspects, precise process chronology execution as well as fine timing resolutions. Furthermore, industrial relevant system sizes with several self-aware and self-expressive nodes can be handled by the modelling and simulation environment