The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Framework for Hybrid and Analogical Planning
Abstract
This chapter describes a model and an underlying theoretical framework for hybrid planning. Modern planning domain description languages are based on sentential representations. Sentential formalisms produce problem encodings that often lead the system to carry out large amounts of superfluous operations, causing a loss in performance. This chapter illustrates how techniques from the area of knowledge representation and reasoning (in particular, analogical representations) can be adopted to develop more efficient domain description languages. Although often more efficient, analogical representations are generally less expressive than sentential ones. A framework for planning with hybrid representations is thus proposed, in which sentential and analogical descriptions can be integrated and used interchangeably, thereby overcoming the limitations and exploiting the advantages of both paradigms.
Related Content
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
30 pages.
|
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri, Navid Ali Khan, Wee Jing Tee, Lalitha Muniandy.
© 2024.
67 pages.
|
Ruchi Doshi, Kamal Kant Hiran.
© 2024.
16 pages.
|
N. Ambika.
© 2024.
9 pages.
|
Siva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, Sukhminder Kaur, Rajan Thangaveloo, Husin Jazri, Navid Ali Khan, Abdalla Gharib, Amaranadha Reddy Manchuri.
© 2024.
54 pages.
|
Azeem Khan, NZ Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
22 pages.
|
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
36 pages.
|
|
|