The domain layer for mixed-initiative interaction in generative design

The design space exploration formalism has developed data structures and algorithms of sufficient complexity and scope to support conceptual layout, massing, and enclosure configurations. However, design remains a human enterprise. To support the user in designing with the formalism, we have developed an interaction model that addresses the interleaving of user actions with the formal operations of design space exploration. The central feature of our interaction model is the modeling of control based on mixed-initiative. Initiative is sometimes taken by the designer and sometimes by the formalism in working on a shared design task. The model comprises three layers, domain, task, and dialogue. In this paper we describe the formulation of the domain layer of our mixed-initiative interaction model for design space exploration. We present the view of the domain as understood in the formalism in terms of the three abstract concepts of state, move, and structure. In order to support mixed initiative, it is necessary to develop a shared view of the domain. The domain layer addresses this problem by mapping the designer's view onto the symbol substrate. First, we present the designer's view of the domain in terms of problems, solutions, choices, and history. Second, we show how this view is interleaved with the symbol-substrate through four domain layer constructs, problem state, solution state, choice, and exploration history. The domain layer presents a suitable foundation for integrating the role of the designer with a description formalism. It enables the designer to maintain exploration freedom in terms of formulating and reformulating problems, generating solutions, making choices, and navigating the history of exploration.

Tree façades : generative modelling with an axial branch rewriting system

The methods and algorithms of generative modelling can be improved when representing organic structures by the study of computational models of natural processes and their application to architectural design. In this paper, we present a study of the generation of branching structures and their application to the development of façade support systems. We investigate two types of branching structures, a recursive bifurcation model and an axial tree based L-system for the generation of façades. The aim of the paper is to capture not only the form but also the underlying principles of biomimicry found in branching. This is then tested, by their application to develop experimental façade support systems. The developed algorithms implement parametric variations for façade generation based on natural tree-like branching. The benefits of such a model are: ease of structural optimization, variations of support and digital fabrication of façade components.

Glimpses of generative practice : constructing pre-service teachers' learning in partnership

In this paper, the authors describe a program to enhance pre-service teachers' mathematical and pedagogical knowledge through a partnership with middle years teachers and learners in a primary school. The authors wanted to investigate how pre-service teachers' experience of teaching mathematics could enhance both their knowledge of mathematics and the development of generative practices. The findings have inspired the development of similar partnerships with other primary schools.

Generative models for automatic recognition of human daily activities from a single triaxial accelerometer

In this work, we compare two generative models including Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM) with Support Vector Machine (SVM) classifier for the recognition of six human daily activity (i.e., standing, walking, running, jumping, falling, sitting-down) from a single waist-worn tri-axial accelerometer signals through 4-fold cross-validation and testing on a total of thirteen subjects, achieving an average recognition accuracy of 96.43% and 98.21% in the first experiment and 95.51% and 98.72% in the second, respectively. The results demonstrate that both HMM and GMM are not only able to learn but also capable of generalization while the former outperformed the latter in the recognition of daily activities from a single waist worn tri-axial accelerometer. In addition, these two generative models enable the assessment of human activities based on acceleration signals with varying lengths.

Research in practice : an exercise in generative urban massing

The following paper explores practice based research as a means of identifying issues within current urban design methods. It considers the application of parametric systems as a means of addressing these issues. These systems are developed and tested across both Australian and international urban design projects within Grimshaw Architects. A methodology is proposed for the development and application of these parametric tools across multiple scales of design resolution. It reports on the application of a set of parametric urban scale massing tools in real world design projects. This exploration is carried out in distinct phases of design defined by the scale of resolution. The phasing allows for discrete problems to be addressed more effectively at different stages of the design process while still encouraging a seamless, bi directional workflow through a digital master model.

Generative experimentation and social simulation : exploring gaming for model vVerification and validation

The agent-based modelling paradigm has been actively applied to address social normative issues such as values, cognition, morality and behaviours. The abstraction of human and human-like social processes and mechanisms result in misalignment of computational model with existing verification and validation techniques and expose significant challenges. We argue that human sources represent a sound approach for verification and validation of agent-based social simulation models. We propose a novel conceptual gaming framework that extracts required information from relevant sources as part of game play

Organisational learning as an emerging process: the generative role of digital tools in informal learning practices

 Increasing attention is paid to organisational learning, with the success of contemporary organisations strongly contingent on their ability to learn and grow. Importantly, informal learning is argued to be even more significant than formal learning initiatives. Given the widespread use of digital technologies in the workplace, what requires further attention is how digital technologies (eg, massive open online courses—MOOC) enable informal learning processes. Drawing from Complex Adaptive Systems (CAS) theory, in this paper we advance a conceptual model for examining this important topic. The two dimensional matrix and the micro-level description of informal learning activities presented provide a framework for both further research on technology-mediated practices for informal learning, as well as the design of formative contexts for learning to occur.

Catastrofi ri-generative e luoghi del politico. Un'etnografia partecipata del terremoto emiliano

Questa tesi consiste nell'analisi socio-antropologica delle risposte al sisma che il 20 e il 29 maggio ha colpito l'area nord della pianura padano-emiliana, in Italia. La zona precisa di ricerca è stata quella compresa tra i comuni di Mirandola, Cavezzo, Concordia sul Secchia e San Possidonio, della provincia di Modena. Il soggetto specifico è stato Sisma.12, un comitato di terremotati, apartitico e trasversale, che porta avanti specifiche rivendicazioni, elaborando e ponendo in essere politiche “dal basso”, che nascono dalle esperienze dei suoi membri, differenti ma partecipate, come alternative alle scelte messe in atto dalle istituzioni.

Neue Dimensionen in der 3D-Drucktechnologie

Die heute kommerziell verfügbaren generativen Fertigungsverfahren und deren Folgeprozesse ermöglichen die Verarbeitung einer Vielzahl unterschiedlicher Werkstoffe. Bei der Herstellung von funktionalen Prototypen werden die Leistungsgrenzen dieser Technologien jedoch schnell erreicht, sodass Kompromisse und Einschränkungen beim Einsatz der Prototypen in Kauf genommen werden müssen. Die Gründe hierfür liegen bei den sehr hohen Anforderungen, die sowohl an das Serienteil als auch an die Prototypen gestellt werden. Alle Forderungen bezüglich der mechanischen, topographischen und physikalischen Eigenschaften zu erfüllen, ist aus technologischer Sicht nicht möglich, da die RP-Verfahren nicht die Fertigungsbedingungen in der Serienproduktion abbilden können. Um dennoch der steigenden Nachfrage speziell der kunststoffverarbeitenden Industrie nach serienidentischen Prototypen und funktionalen Kleinserien nach zu kommen, wurde ein neues Werkstoff-, Technologie- und Maschinenkonzept basierend auf der 3D-Drucktechnologie entwickelt.

Strahlschmelzen - LaserCUSING® - Integration im Werkzeug- und Formenbau

Die generativen Fertigungsverfahren haben längst ihren Platz in der Wertschöpfungskette neben konventionellen Prozessen eingenommen. Trotzdem müssen die Anwender immer wieder aufs Neue für die recht abstrakten Möglichkeiten und Chancen der Verfahren sensibilisiert werden. Querdenken kann oft schneller und effizienter zur erfolgreichen Problemlösung beitragen als traditionelle Schlüsselwege. Deshalb soll der Beitrag einige Kernpunkte ansprechen, die die additiven Verfahren in den Unternahmen – speziell das LaserCUSING® - als überaus sinnvolle Ergänzung des Technologieparks erachten. Neben der Herstellung von metallischen Prototypen geht der Vortrag insbesondere auf die Vielfalt der Effekte integrierbarer Kanäle in Formeinsätzen besonders des Spritzgusswerkzeugbaus ein.

On the generative equations of fractal self-similarity in granular media and the related PSD models

The physical appearance of granular media suggests the existence of geometrical scale invariance. The paper discuss how this physico-empirical property can be mathematically encoded leading to different generative models: a smooth one encoded by a differential equation and another encoded by an equation coming from a measure theoretical property.