Article View: comp.ai
Article #9059Planner Implementation
From: Steve Woods
Date: Fri, 06 Sep 1991 01:27
Date: Fri, 06 Sep 1991 01:27
53 lines
3351 bytes
3351 bytes
I have recently completed a masters thesis entitled "An Implementation and Evaluation of a Hierarchical Nonlinear Planner". The abstract follows. If anyone is interested, the thesis, implementation in Common Lisp w/ users-manual, and a paper dealing with the results in about 14 pages is available via anonymous ftp from: csis.dit.csiro.au the directory you want is pub/steve and a README file there will summarize the directory contents. Please Email me if you FTP a copy of the planner. Note that this work builds upon TWEAK as described by David Chapman, and embodies the ABTWEAK planner first described by Qiang Yang and Josh Tenenberg. Steve Woods THESIS ABSTRACT Planning is the process of generating sequences of actions in order to provide a method for agents to modify the state of the world in which they exist. It is well known that the application of abstraction can greatly reduce the search involved in creating plans. In this talk, an empirical evaluation of several different approaches to reducing search in \abtweak, an abstract nonlinear planning system, are presented. To solve a complex problem using abstraction, one would like to protect parts of the abstract solution that have already been completed during the abstract plan refinement. However, it has not been well understood how this protection can be done profitably; some subgoal protection may indeed result in a decrease in efficiency. The Monotonic Property has been proposed as a form of goal protection in abstract planning. Different versions of this property are investigated with respect to their effect on planning performance in several domains. Furthermore, a series of empirical tests of the utility of the properties are presented, along with an evaluation of different search strategies for abstract planning. In addition, we present a novel abstract planning control strategy known as \leftwedge. This strategy adds a depth-first flavor to a complete search strategy by taking advantage of the fact that less abstract solutions are generally closer to a concrete level solution than more abstract ones. The relative benefit of this approach under various criticality assignments is demonstrated through comparisons with breadth-first strategy. Furthermore, two subgoal selection strategies are presented and compared empirically. -- Steven.Woods@csis.dit.csiro.au Phone +61-6-2750927 Fax +61-6-2571052 CSIRO Division of Information Technology ANU, Acton Canberra ACT AUSTRALIA.
Technical Details
Message-ID:
<1991Sep6.012716.29253@csis.dit.csiro.au>Path:
arc1-ca.pugleaf.net!gmdzi!unido!math.fu-berlin.de!ira.uka.de!yale.edu!qt.cs.utexas.edu!cs.utexas.edu!sun-barr!newstop!sunaus!metro!usage.csd.unsw.oz.au!sserve!manuel!csis!newsShow Full Headers
Complete Article Headers
X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 102449,b061c8b43518d8c3,start X-Google-Attributes: gid102449,public X-Google-Thread: 10461e,b061c8b43518d8c3,start X-Google-Attributes: gid10461e,public X-Google-ArrivalTime: 1991-09-07 16:33:26 PST Path: arc1-ca.pugleaf.net!gmdzi!unido!math.fu-berlin.de!ira.uka.de!yale.edu!qt.cs.utexas.edu!cs.utexas.edu!sun-barr!newstop!sunaus!metro!usage.csd.unsw.oz.au!sserve!manuel!csis!news From: sgwoods@vela.csis.dit.csiro.au (Steve Woods) Newsgroups: comp.ai,aus.ai Subject: Planner Implementation Message-ID: <1991Sep6.012716.29253@csis.dit.csiro.au> Date: 6 Sep 91 01:27:16 GMT Sender: news@csis.dit.csiro.au Distribution: comp Organization: University of Waterloo Lines: 53 Nntp-Posting-Host: vela.csis.dit.csiro.au