plasp: A Prototype for PDDL-Based Planning in ASP

被引:0
|
作者
Gebser, Martin [1 ]
Kaminski, Roland [1 ]
Knecht, Murat [1 ]
Schaub, Torsten [1 ]
机构
[1] Univ Potsdam, Inst Informat, Potsdam, Germany
来源
LOGIC PROGRAMMING AND NONMONOTONIC REASONING | 2011年 / 6645卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a prototypical system, plasp, implementing Planning by compilation to Answer Set Programming (ASP). Our approach is inspired by Planning as Satisfiability, yet it aims at keeping the actual compilation simple in favor of modeling planning techniques by meta-programming in ASP. This has several advantages. First, ASP modelings are easily modifiable and can be studied in a transparent setting. Second, we can take advantage of available ASP grounders to obtain propositional representations. Third, we can harness ASP solvers providing incremental solving mechanisms. Finally, the ASP community gains access to a wide range of planning problems, and the planning community benefits from the knowledge representation and reasoning capacities of ASP.
引用
收藏
页码:358 / 363
页数:6
相关论文
共 50 条
  • [41] A PDDL based Disaster Storyline Generation Approach
    Tang, Mingrong
    Ni, Jinxin
    Zhou, Qifeng
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 4273 - 4278
  • [42] PDDL4J: a planning domain description library for java']java
    Pellier, D.
    Fiorino, H.
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2018, 30 (01) : 143 - 176
  • [43] A prototype for general planning
    Azevedo, Francisco A.
    2005 PORTUGUESE CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 24 - 32
  • [44] Towards robust assembly with knowledge representation for the planning domain definition language (PDDL)
    Kootbally, Z.
    Schlenoff, C.
    Lawler, C.
    Kramer, T.
    Gupta, S. K.
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2015, 33 : 42 - 55
  • [45] Improving Planning Performance in PDDL plus Domains via Automated Predicate Reformulation
    Franco, Santiago
    Vallati, Mauro
    Lindsay, Alan
    McCluskey, Thomas Lee
    COMPUTATIONAL SCIENCE - ICCS 2019, PT V, 2019, 11540 : 491 - 498
  • [46] Crowdsourcing Software Development: Task Assignment Using PDDL Artificial Intelligence Planning
    Tunio, Muhammad Zahid
    Luo, Haiyong
    Wang, Cong
    Zhao, Fang
    Shao, Wenhua
    Pathan, Zulfiqar Hussain
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2018, 14 (01): : 129 - 139
  • [47] BIM-BASED PROTOTYPE OF A MATHEMATICAL MODEL OF CONSTRUCTION PLANNING
    Kontrimovicius, Robertas
    Ustinovichius, Leonas
    JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2023, 29 (01) : 1 - 14
  • [48] The Evaluation of Prototype Discharge Planning Model Based on Information Technology
    Hariyati, Tutik Sri
    Afifah, Efi
    Handiyani, Hanny
    MAKARA JOURNAL OF HEALTH RESEARCH, 2008, 12 (02): : 53 - 58
  • [49] A prototype fuzzy-based classifier system for trajectory planning
    Khoo, LP
    Teo, MY
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 1997, 20 (02) : 191 - 202
  • [50] A Sound (But Incomplete) Polynomial Translation from Discretised PDDL plus to Numeric Planning
    Percassi, Francesco
    Scala, Enrico
    Vallati, Mauro
    AIXIA 2021 - ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, 13196 : 18 - 31