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020 _a9783642225802
_9978-3-642-22580-2
024 7 _a10.1007/978-3-642-22580-2
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aHartanto, Ronny.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 2 _aA Hybrid Deliberative Layer for Robotic Agents
_h[electronic resource] :
_bFusing DL Reasoning with HTN Planning in Autonomous Robots /
_cby Ronny Hartanto.
250 _a1st ed. 2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXXII, 215 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6798
520 _aThe Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 0 _aComputer science.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Modelling.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aTheory of Computation.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSoftware Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642225796
776 0 8 _iPrinted edition:
_z9783642225819
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6798
856 4 0 _uhttps://doi.org/10.1007/978-3-642-22580-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c182558
_d182558