Paper Info
Title
A Case-Based Planning approach for mobile agents migration guidance
Abstract
We proposed a Case-Based Planning (CBP) approach to enhance mobile agents guidance. CBP is a planning approach by reusing old plan results to solve new planning problems. There are two advantages of embed mobile agents with CBP: learning and efficiency. The agent with CBP can store successfully performed remote service requests for reuse and failed situations for avoidance. Efficiency of the agent with CBP comes from that the ability of reusing parts of old migration plans could avoid the repetition of the same efforts. It is obvious that if each agent in an agent-based environment can remember the past cooperation experience, the efficiency of agents' cooperation could be improved because more communication load and network latency can be avoided. In our approach, a plan consists of a series of actions to achieve related goals. The actions include internal services calls and external services invocations. A hierarchical case-based reasoning (HCBR) mechanism is used as core to implement our approach.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5642220
SMC
Keywords
Field
DocType
internal service call,planning (artificial intelligence),case-based reasoning,communication load,mobile agent migration guidance,network latency,remote service request,case-based planning,external service invocation,hierarchical case based reasoning mechanism,mobile agents,web services,agent based environment,mobile agent,mobile communication,ontologies,case based reasoning,case base reasoning,irrigation,web service
Ontology (information science),Case based planning,Software engineering,Reuse,Latency (engineering),Computer science,Knowledge management,Artificial intelligence,Case-based reasoning,Web service,Machine learning,Mobile telephony
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-6586-6
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Chiung-Hon Leon Lee110110.82
Alan Liu214917.19