Form Follows Form: Fine Tuning Artificial Intelligence Methods

2010 ◽  
Author(s):  
Matt R. Bohm ◽  
Robert B. Stone
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Design ◽  
Functional Model ◽  
Fine Tuning ◽  
State University ◽  
Concept Generation ◽  
Generation Technique ◽  
Oregon State University ◽  
Answering Questions

This paper presents an updated approach to a form-based concept generation technique known as Form Follows Form (FFF). The technique allows a novice engineer or designer to use natural language to specify components envisioned within a product. Form follows form then develops the underlying functional structure by leveraging a repository of over 5500 artifacts. Existing computational conceptual design methods are then employed to automatically display a set of ranked concept alternatives to the user. Users can quickly create a functional model by specifying input components and answering questions regarding the intent of the product. In this paper we demonstrate the capabilities of the Form Follows Form method through a case study involving the redesign of a standard household fan. Through the case study it is shown that FFF is capable of suggesting creative alternatives for existing products. Additionally, we present data regarding the accuracy and usefulness of FFF gathered through a junior level design course at Oregon State University.

scholarly journals Machine learning challenges and impact: an interview with Thomas Dietterich

2017 ◽  
Vol 5 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Zhi-Hua Zhou
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Driving Force ◽  
Professor Emeritus ◽  
State University ◽  
Learning Society ◽  
Learning Challenges ◽  
The World ◽  
The Usa ◽  
Oregon State University

Abstract Machine learning is the driving force of the hot artificial intelligence (AI) wave. In an interview with NSR, Prof. Thomas Dietterich, the distinguished professor emeritus of computer science at Oregon State University in the USA, the former president of Association of Advancement of Artificial Intelligence (AAAI, the most prestigious association in the field of artificial intelligence) and the founding president of the International Machine Learning Society, talked about exciting recent advances and technical challenges of machine learning, as well as its big impact on the world.

Collaborative Sketching With skWiki: A Case Study

2014 ◽  
Author(s):  
Senthil Chandrasegaran ◽  
Sriram Karthik Badam ◽  
Zhenpeng Zhao ◽  
Niklas Elmqvist ◽  
Lorraine Kisselburgh ◽  
...  
Keyword(s):  
Conceptual Design ◽  
Collaborative Design ◽  
Design Research ◽  
Research Tool ◽  
Concept Generation ◽  
Computational Tools ◽  
Web Based ◽  
Collaborative Exploration ◽  
Collaborative Sketching

Sketching for conceptual design has traditionally been performed on paper. Recent computational tools for conceptual design have leveraged the availability of hand-held computing devices and web-based collaborative platforms. Further, digital sketching interfaces have the added advantages of storage, duplication, and sharing on the web. We have developed skWiki, a tool that enables collaborative sketching on digital tablets using a web-based framework. We evaluate skWiki in two contexts, (a) as a collaborative ideation tool, and (b) as a design research tool. For this evaluation, we perform a longitudinal study of an undergraduate design team that used skWiki over the course of the concept generation and development phase of their course project. Our analysis of the team’s sketching activity indicated instances of lateral and vertical transformation between participants, indicating collaborative exploration of the breadth and depth of the design space. Using skWiki for this evaluation also demonstrated it to be an effective research tool to investigate such collaborative design processes.

scholarly journals Assessing Library Scholarship: Experience at a Land Grant University

2010 ◽  
Vol 71 (6) ◽  
pp. 510-524 ◽  
Author(s):  
Andrea A. Wirth ◽  
Maureen Kelly ◽  
Janet Webster
Keyword(s):  
Research Output ◽  
State University ◽  
Tenure Track ◽  
Land Grant University ◽  
Research Methodologies ◽  
Accurate Picture ◽  
Key Issues ◽  
Oregon State University ◽  
Tools And Methods

Library faculty are often tenure track, requiring a record of significant publishing and service before achieving tenure. However, meaningful tools and methods for evaluating the scholarship of librarianship frequently fall short of providing an accurate picture of the scholarship of any particular candidate. The authors conducted a case study analyzing the research output of Oregon State University (OSU) Libraries’ faculty using the Boyer Classifications1 and Blake’s research methodologies.2 Broadening our view of acceptable formats and outlets and learning how to communicate and assess our scholarship within the academy are key issues that require continued exploration.

Form Follows Form: Is a New Paradigm Needed?

2009 ◽  
Author(s):  
Matt R. Bohm ◽  
Robert B. Stone ◽  
Robert L. Nagel
Keyword(s):  
Computational Algorithms ◽  
Generation Process ◽  
Concept Generation ◽  
New Paradigm ◽  
Generation Technique ◽  
Component Solution ◽  
Automatic Mode ◽  
Grammar Rules ◽  
Different Levels

This paper presents a new form-based concept generation technique known as Form Follows Form (FFF). The technique allows a novice engineer or designer to use natural language to specify components envisioned within a product to initiate a more thorough concept generation process. Form follows form takes the initial component solution and then formulates the underlying function structure by leveraging a repository of over 5500 artifacts. Existing computational conceptual design methods are then employed to automatically display a set of ranked concept alternatives to the user. Users can choose from two different levels of interaction, an automatic mode that uses the most common functions to develop concept alternatives, or a mode that allows the user to be more precise in defining a product’s interaction. The computational algorithms and grammar rules are detailed along with a case study using both tiers of interaction.

scholarly journals Situation-based and Cooperative Learning in an Upper-division Fruit Production and Physiology Course

2000 ◽  
Vol 10 (2) ◽  
pp. 283-286
Author(s):  
Anita Nina Azarenko
Keyword(s):  
Cooperative Learning ◽  
Learning Strategy ◽  
Fruit Production ◽  
Learning Approach ◽  
State University ◽  
Case Study Approach ◽  
Approach To Learning ◽  
Study Approach ◽  
Oregon State University

A situation-based or modified case study approach to learning has been adopted in an upper division fruit production course that is taught at Oregon State University in the Department of Horticulture. A new case study, which will have a high probability of generating discussion on key pomological themes, is developed each term. On the first meeting day of class, students identify relevant themes in the case study. A modified jigsaw cooperative learning strategy is then used to cover the relevant subject matter throughout the term. While using this strategy, groups of two to three students become experts on a theme and are responsible for sharing their knowledge with their peers. The instructor mentors the experts by reviewing assignments created by them, checking answers to assignments, and administering quizzes on the themes. About midterm, larger groups of six to seven students begin their preparation of an oral presentation and written synthesis of the goals and possible pathways for achieving the targets of the primary stakeholders (i.e., orchardists, field representatives, extension faculty, etc.) that are presented in the case study. The groups make their presentations to the stakeholders at the end of the term. Students are required to prepare an individual written report. This learning approach links theory with practice, gives students practice in extensively analyzing a situation, enables students to become conversant in and knowledgeable of basic pomology, builds positive relationships between fellow students, and provides multiple experiences for communicating information and student's discoveries.

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