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21
FORMALISMS FOR NEGOTIATION IN ENGINEERING DESIGN
, 1996
"... Engineering projects often undergo several design iterations before being completed. Information received from other groups working on a project (analysis, manufacturing, marketing, sales) will often necessitate changes in a design. The interaction between different groups associated with a design p ..."
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Cited by 29 (5 self)
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Engineering projects often undergo several design iterations before being completed. Information received from other groups working on a project (analysis, manufacturing, marketing, sales) will often necessitate changes in a design. The interaction between different groups associated with a design project often takes the form of informal “negotiation. ” This form of interaction commonly arises when engineering information is imprecise. The Method of Imprecision (MoI) is a formal method for the representation and manipulation of preliminary and imprecise design information. It provides a mechanism for the formalization of these informal negotiations. The nature and scope of informal negotiation in engineering is explored and discussed, and application of the MoI is illustrated with an example.
Combining Constraint Propagation and Backtracking for Distributed Engineering
, 1996
"... We describe an agent-based approach for engineering problems in which the constraints and general control of problem solving are distributed. In order to overcome previous problems with engineering constraint solvers, we divide responsibilities between domain-specific agents, which control the overa ..."
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Cited by 15 (4 self)
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We describe an agent-based approach for engineering problems in which the constraints and general control of problem solving are distributed. In order to overcome previous problems with engineering constraint solvers, we divide responsibilities between domain-specific agents, which control the overall problem solving, and generic, reusable agents. One of these generic agents is Redux 0 , which provides general problem solving bookkeeping services. Another is a Constraint Manager, which provides constraint consistency services. We demonstrate that the utility of this approach on a previously-defined simple, but difficult distributed constraint problem.
Interactive Constraint-Aided Conceptual Design
"... Engineering conceptual design can be de ned as that phase of the product development process during which the designer takes a speci cation for a product to be designed and generates many broad solutions to it. This paper presents an constraint-based approach to supporting interactive conceptua ..."
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Cited by 15 (3 self)
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Engineering conceptual design can be de ned as that phase of the product development process during which the designer takes a speci cation for a product to be designed and generates many broad solutions to it. This paper presents an constraint-based approach to supporting interactive conceptual design. The approach is based upon an expressive and general technique for modeling: the design knowledge which a designer can exploit during a design project; the life-cycle environment which the nal product faces; the design speci cation which de nes the set of requirements that the product must satisfy; and the structure of the various schemes that are developed by the designer.
Agent-Based Project Management
- PROC. INTERNATIONAL WORKSHOP ON INTELLIGENT AGENTS IN CSCW, DORTMOUND
, 1998
"... Integrated project management means that design and construction planning are interleaved with plan execution, allowing both the design and plan to be changed as necessary. This requires that the right eects of change need to be propagated through the plan and design. When this is distributed am ..."
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Cited by 13 (4 self)
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Integrated project management means that design and construction planning are interleaved with plan execution, allowing both the design and plan to be changed as necessary. This requires that the right eects of change need to be propagated through the plan and design. When this is distributed among designers and planners, no one may have all of the information to perform such propagation and it is important to identify what effects should be propagated to whom, and when. We describe a set of dependencies among plan and design elements that allow such notication by a set of message-passing software agents. The result is to provide a novel level of computer support for complex projects.
Product Information Exchange: Practices and Standards
- Transactions of the ASME Journal of Computing and Information Science in Engineering
, 2005
"... The paper discusses the evolution of product information exchange from point-to-point exchange of geometry between Computer-aided Design (CAD) tools through today’s suite of tools and processes of Computer-aided Product Development (CAPD) to the future fully integrated Computer-aided Product Realiza ..."
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Cited by 7 (1 self)
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The paper discusses the evolution of product information exchange from point-to-point exchange of geometry between Computer-aided Design (CAD) tools through today’s suite of tools and processes of Computer-aided Product Development (CAPD) to the future fully integrated Computer-aided Product Realization (CAPR) process. The categories of processes and the layers of information exchange are reviewed. The current practice in product information exchange, the relevant information exchange standards, and near-future plans for improvements are presented. The major recent demands on more comprehensive product information exchange are discussed in terms of the exchange of non-geometric information and support of feature-based design, knowledge-based engineering and management of product variety. Two conceptual frameworks for the support of CAPD and CAPR, representative of current research, are briefly sketched. Finally, a conceptual model of product information exchange is presented so as to define the range of implementation and standardization paths that may be taken in the future. 1.
Agent-Based Collaborative Design Of Parts In Assembly
, 1998
"... In this paper, we propose an architecture in which engineering design agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. We present an example involving CAD agents, for which each state corresponds to a particular des ..."
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Cited by 6 (0 self)
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In this paper, we propose an architecture in which engineering design agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. We present an example involving CAD agents, for which each state corresponds to a particular design model. If a designer publishes a new design, the operation is recorded as a state transition that triggers action. Focusing on the history of design states and operations, we present a coordination algorithm that corresponds to the tracking of Pareto optimality. A prototype implementation is described, using a commercial 3D CAD system and agent interfaces written in Java. INTRODUCTION With increasing global competition, it is important to make all aspects of the design process as fast and efficient as possible. One way to achieve improvements in efficiency is through better coordination of the actions of designers working on a common design, so that unnecessary backtracking and delays...
Collective Work
- Available online: http://www-cdr.stanford.edu/∼petrie/online/peer2peer/collectivework.pdf/ (accessed on 13
, 2011
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ProcessLink Coordination of Distributed Engineering
, 1997
"... l is sent to the addresses listed in the "signature block", regardless of whether the actual change affects all, or even one,of the addressees. There has been little progress in identifying needed coordination models that cover a wide class of applications and could be used to structure t ..."
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Cited by 3 (0 self)
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l is sent to the addresses listed in the "signature block", regardless of whether the actual change affects all, or even one,of the addressees. There has been little progress in identifying needed coordination models that cover a wide class of applications and could be used to structure the work so that heterogeneous software and multi-discipline engineers could be coordinated more automatically. Constraint Satisfaction is a one model that has been imposed[1] but as it is not a model of design, it is inadequate in several respects. It usually requires enumeration of all possible options prior to designtime, there is no notion of design rationale, and there is no support for dynamic subgoaling: task decomposition. Similarly, there are problems with trying to use other non-design-specific models for design, such as integer programming[5]. What is needed is a model of dynamic design decision making. One such model is Redux[15]. One feature of the Redux model is that it can be very simpl
Using Learning to Improve Multi-Agent Systems for Design
, 1997
"... Contents 1. Motivation 3 1.1 Why design? 3 1.2 Agents -- an AI answer to complex problems 4 1.3 Performance of multi-agent systems 6 1.4 Anticipatint everything 7 1.5 Relying on change 9 1.5.1 Individual learning vs. multi-agent learning 9 1.5.2 One learning process vs. several learning proc ..."
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Cited by 2 (0 self)
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Contents 1. Motivation 3 1.1 Why design? 3 1.2 Agents -- an AI answer to complex problems 4 1.3 Performance of multi-agent systems 6 1.4 Anticipatint everything 7 1.5 Relying on change 9 1.5.1 Individual learning vs. multi-agent learning 9 1.5.2 One learning process vs. several learning processes 11 1.6 Where lies the challenge? 12 2. Problem definition 14 2.1 Specific elements of design problem-solving 14 2.2 The static and dynamic sides of the multi-agent system 17 2.2.1 The static side of the multi-agent system 17 2.2.2 The dynamic side of the multi-agent system 18 2.3 Learning while designing 20 3. Related research 23 3.1 Research in multi-agent design 23 3.2 Research in learning in design 25 3.2.1 Learning from previous designs 26 3.2.2 Learning about the design proces 27 3.3 Multi-agent learning 29 4. Possible approaches for the multi-agent models 32 5. Proposed approach 35 5.1 The multi-agent architecture 35 5.1.1 The agent model 35 5.1.2 Team d
Z.: An adaptable model for distributed collaborative design
- Computer-Aided Design & Applications
, 2005
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