1. Social Abstractions for Information agents
1999년 11월 22일
전산과학과
이근섭

2. Introduction 문제 상황 : information-rich environment
문제 상황 : society of information agents
해결 : interaction modeling

3. Contents of presentation
key concept
interaction oriented programming
architecture
example
conclusion & future work

4. Key concept 1 information-rich environments
span boundaries
heterogeneous
loosely structured
lack global control of contents
intricate interdependency

5. Key concept 2 information agent
social interaction
find vs manipulate agent
consistency vs coherence

6. consistency vs coherence
autonomy vs consistency
expectation & suitability
consistency < coherence

7. Interaction oriented programming
 until now
 buried in operating procedures & manual
 hard-coded
 from now
 modeling interactive aspects

8. Sphere of commitments (1/3)
society
role
capability : required by role
commitment : what agent must do
authorities : what agent may do
soCom : sphere of commitments

9. Sphere of commitments (2/3)
C( x, y, p, G )
x : debtor => make a commitment
y : creditor => receiver the commitment
p : condition => what is being committed to
G : context => soCom & real society

10. Sphere of commitments (3/3)
 meta-commitment
 create : consequence of adopting a role
 discharge , cancel , debtor : by debtor
 release , assign : by creditor or context
 policy
 cancel( x, C(x,y,p,G) )
=> create ( x, C(x , y , q , G) )

11. Standard architecture (1/3)
user agent
application
broker
Execution
agent
ontology
ontology agent
Physical
controller
Execution
agent DB
Sensor

12. Standard architecture (2/3)
 user agent
 contain mechanism to select an ontology
 support various interface
 view of other agent
 provide access to other resources
 execution agent
 manage software / hardware application
 resource agent
 represent resource
 translate ( local vs global language )

13. Standard architecture(3/3)
 broker agent
 name service
 message service
 mediator agent
 determine relevancy
 decompose query & combine responses
 ontology agent
 provide ontology database
 manage the evolution of ontology

14. Example 1 : MINDS Multiple Intelligent Node Documents Servers A B
user agent B
Document
Document
Metadata
Metadata
Search
engine
Metadata C
Document
Metadata repository
Metadata
Document base
Network

15. Example 2 : Virtual Enterprise
order matching hoses and valves
promise
Notify of update
Confirm revised
user agent
VE agent
order
cancel
ready
order valves
ready
change
order hose
hoses
valves

16. Conclusion & future work
 consistency => coherence
 interaction oriented
 standard architecture
 future work
 develop metamodel
 intuitive formal semantics
 compositionality
 temporal, causal reasoning
 social learning