作者： Harshavardhan Karandikar , Jon A. Shupe , Farrokh Mistree , Janet K. Allen , Eduardo Bascaran
DOI:
关键词: Design process 、 Heterarchy 、 Decision support system 、 Computer science 、 Engineering design process 、 Software engineering 、 Machine learning 、 Robot learning 、 Proactive learning 、 Multi-task learning 、 Problem statement 、 Artificial intelligence
摘要: s. STEP 2: PARTITION AND PLAN Partition each Abstract into Problem Statements Devise plan for sequence of solution Obtain solutions. Solve the DSPs 5: SOLVE Figure 2.4. The Decision Support Technique Technique: Organization organization DSP is shown in It consists two phases which are accomplished consecutively. In first phase, at metalevel, design process itself designed. decisions themselves not made meta-design; rather, that need to be identified and then placed a decision plan. needed convert information characterizes needs requirements product knowledge about prototype can manufactured maintained. created with what will implementing designer's tasks on gained from meta2.2. 59 design, its resources, time scale anticipated costs. second domain-dependent level system being designed, first-phase implemented. results phase particularized needs, intuition skills designer who implement it. both an interactive partner, simply initiator automated processes. So when does start? We assert starts step taken extract hierarchy heterarchy. hierarchical set representative Decision-Based Design effect specific engineering artifact (system). sense, constructs takes life directed towards effecting particular system. human through his/her role brings dynamism chosen set. (and problem solving) same instant. Steps steps deal meta-design whereas rest design. These valid any event implemented within event. following explained context mechanical