Ontological Support for Modelling Planning Knowledge

被引:1
作者
Wickler, Gerhard [1 ]
Chrpa, Lukas [2 ]
McCluskey, Thomas Leo [2 ]
机构
[1] Univ Edinburgh, Sch Informat, AI Applicat Inst, Edinburgh, Midlothian, Scotland
[2] Univ Huddersfield, Sch Comp & Engn, PARK Grp, Huddersfield HD1 3DH, W Yorkshire, England
来源
KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, IC3K 2014 | 2015年 / 553卷
基金
英国工程与自然科学研究理事会;
关键词
Knowledge engineering; Automated planning;
D O I
10.1007/978-3-319-25840-9_19
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the conceptual model underlying the Knowledge Engineering Web Interface (KEWI) which primarily aims to be used for modelling planning tasks in a semi-formal framework. This model consists of three layers: a rich ontology, a model of basic actions, and more complex methods. It is this structured conceptual model based on the rich ontology that facilitates knowledge engineering. The focus of this paper is to show how the central knowledge model used in KEWI differs from a model directly encoded in PDDL, the language accepted by most existing planning engines. Specifically, the rich ontology enables a more concise and natural style of representation, including function terms as object references. For operational use, KEWI automatically generates PDDL. Experiments show that the generated PDDL can be processed by a planner without incurring significant drawbacks.
引用
收藏
页码:293 / 312
页数:20
相关论文
共 14 条
  • [1] MAPGEN: Mixed-initiative planning and scheduling for the mars exploration rover mission
    Ai-Chang, M
    Bresina, J
    Charest, L
    Chase, A
    Hsu, JCJ
    Jonsson, A
    Kanefsky, B
    Morris, P
    Rajan, K
    Yglesias, J
    Chafin, BG
    Dias, WC
    Maldague, PF
    [J]. IEEE INTELLIGENT SYSTEMS, 2004, 19 (01) : 8 - 12
  • [2] [Anonymous], 2004, AUTOMATED PLANNING
  • [3] Barreiro J., 2012, 4 INT COMP KNOWL ENG
  • [4] O-PLAN - THE OPEN PLANNING ARCHITECTURE
    CURRIE, K
    TATE, A
    [J]. ARTIFICIAL INTELLIGENCE, 1991, 52 (01) : 49 - 86
  • [5] State-variable planning under structural restrictions: algorithms and complexity
    Jonsson, P
    Backstrom, C
    [J]. ARTIFICIAL INTELLIGENCE, 1998, 100 (1-2) : 125 - 176
  • [6] Leshed G, 2008, CHI 2008: 26TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS VOLS 1 AND 2, CONFERENCE PROCEEDINGS, P1719
  • [7] McCluskey T. L., 1998, P 10 IEEE INT C TOOL
  • [8] Plch Tomas, 2012, ICAPS12 SYSTEM DEMON, P4
  • [9] Schreiber G., 2000, KNOWLEDGE ENG MANAGE
  • [10] Planning domain definition using GIPO
    Simpson, R. M.
    Kitchin, D. E.
    McCluskey, T. L.
    [J]. KNOWLEDGE ENGINEERING REVIEW, 2007, 22 (02) : 117 - 134