MITSUBISHI 1 CADUI'96 - 7 June 1996 - FUNDP Namur A Case-Based Design Suppor Method Incorporated...

MITSUBISHI 1 CADUI'96 - 7 June 1996 - FUNDP Namur

A Case-Based Design Suppor MethodA Case-Based Design Suppor MethodIncorporated WithIncorporated With

Designer’s Intention Recognition Designer’s Intention Recognition

Takayuki Yamaoka and Shogo Nishida

Mitsubishi Electirc CorporationAmagasaki Hyogo (JAPAN)


IntroductionIntroduction

• Intentional design• Case-based design support method• Case-based intention recognition method• System architecture• Prototype system YAADYAAD• Conclusion


Intention in DesignIntention in Design

• Creative design– as a decision making problem.

– generating a prefered result.

• Design intention:to be satisfied.• Means: to realize the intention.• Intention structure: intention and its means.• Grasping and sharing intention

– cooerative support in design process.


Conventional approachesConventional approaches

• CAD system– to support lower level operations.

• Expert systems and simulators– to automate computations and analyses.

• Multi-media interfaces– for inputs and outpus.


Our approachOur approach

• Incorporating design intention– for creative and conceptual design

– to amplify ideas

– through interactions

• Using CBR(Case-Based Reasoning)– to avoid to describe a priori rules

– to produce various information

– from the point of view of the current computer ability


Intentional design supportIntentional design support

• Situations:– clear intention, but no

concrete means.

– concrete means, but not clear intention.

– want any ideas.

• Support forms:– to present concrete means

to saitsfy the intention.

– to presume intention from the means.

– to present various good examples.


Case-based design support methodCase-based design support method

NoYes

Problem

Candidates

Intention

No

States changed

Intentionstructure

Result

Candidates

Yes

Intentionstructure

Designer System

5. Operation on objects

Satisfied?

8. Modification forintention structure

3. Input intention

Has intention?

1. Iniput designrequirements

2. Case retrievalfor requirements

4. Retrieval forintention structure

6. Intentionpresumption

7. Case modification

9. Case storage


Characteristics of the methodCharacteristics of the method

• Flexible design according to situations– through free operation, interaction, modification

• Mutual understanding of intention– by intention recognition and modification

• Synthesizing solution– by referring to various cases


Intention recognitionIntention recognition

• Problems of conventional methods(e.g plan recognition)– to prepare complete knowledge sources(plans)

– not flexible output, but concrete result by rules

• Using CBR– to avoid fixed and detailed knowledge sources

– to provide flexible and various information

– to extend knowledge sources step by step


Representation of intention structureRepresentation of intention structure

PART

GIS

cylindrical

line

GIS-1 Line-1 GIS-2rightleft

symmetry

beautiful Symmetry-1

Beautiful-1

physical node

object node

vocabulary

PRED

SIZE

PRED ARGS

ARGS ARGS

PRED

PRED

PART

SUBJ SUBJOBJ OBJ

PART

SIZE

SIZE

SHAPE

SHAPElarge

SHAPElong Power line

mental node

Left-1 Right-1


Case-based intention recognitionCase-based intention recognition

1. Get input statesfrom designer

2. Retrieval

set of states

A. Presumedstructure

B. Prior buffer

C. Case basesource cases

3. Synthesis

partialintentionstructure

input

4. Modification

intentionstructure

result

Use

d in

tent

ion

stru

ctur

e

go the next phase


Synthesis and modificationSynthesis and modification

• Incremental synthesis of partial structures– to produce new structures– to make up case shortage

• Interactive modification of intention– to adjust individual

variation

Sparse Symmetry

Borad-1 Path-1 Terminal-1 Line-1 GIS-1 GIS-2

wide wide left right

Beautiful

Case-Base


SimilaritySimilarity

IF similar

T,S: nodesL: link nameD: similarity between nodesd: distance between vocabulariesw: weight on link

S1

L1L2

S2

S0

L1 L2

T1 T2

T0

V1 V2

V0

Vocabulary database

d2 d1

D1=d1+d2

D = w1*D1 + w2*D2


System architectureSystem architecture

Case-BaseSynthesis

Buffer

Retrieval

Edit

Distance

Interpretation

Scoping

Menu Network Editor

Statements

Vocabularies

Objects

InputInterpretation

User Interface

Memory

Inference Kernel

Similarity

OperationDisplayOperationProblem

Data/Knowledge

Input/Output

Process

Work Space


YAADYAAD: a prototype: a prototype

• For electric facilites layout design– C + Motif on UNIX machine (HP-9000)

– 12 objects, 6 states, and 132 vocabularies

– (initially) 4 cases, including 54 partial structs.

• Data reference functions– between case node and working object

– from presumed intention structure to case node


YAADYAAD: example screen: example screen


YAADYAAD: example (2): example (2)


YAADYAAD: Features and shortcomings: Features and shortcomings

• Interactive reference:– possibility to provide various ideas

• Flexible and robust• Knowledge extension and handing down• Explanation by real examples

• Manual scoping• Manual modification


Future worksFuture works

• Vocabulary setting• Integration with conventional design support• Quick case retrieval


Concluding remarksConcluding remarks

• Case-based intentional design support method– support creative desing through interaction

– enhaunce human ideas

• Case-based intention recognition– Avoidance of fixed rules

– Extension of knowledge sources

• YAADYAAD: a prototype for layout design


Thank you for your attention!

MITSUBISHI 1 CADUI'96 - 7 June 1996 - FUNDP Namur A Case-Based Design Suppor Method Incorporated...

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