计算机科学 ›› 2015, Vol. 42 ›› Issue (1): 220-226.doi: 10.11896/j.issn.1002-137X.2015.01.049
刘振,张志政
LIU Zhen and ZHANG Zhi-zheng
摘要: 动作模型学习可以使Agent主动适应动态环境中的变化,从而提高Agent的自治性,同时也可为动态域建模提供一个初步模型,为后期的模型完善和修改提供了基础。通过结合归纳逻辑程序设计(Inductive Logic Programming,ILP)和回答集程序设计(Answer Set Programming,ASP),设计了一个学习B语言描述的动作模型算法,该算法可以在混合规模的动态域中进行学习,并采用经典规划实例验证了该学习算法的有效性。
[1] Certicky M.Action Learning with Reactive Answer Set Pro-gramming:Preliminary Report[C]∥The Eighth International Conference on Autonomic and Autonomous Systems(ICAS 2012).2012:107-111 [2] Estlin T,Gaines D,Chouinard C,et al.Increased Mars rover autonomy using AI planning,scheduling and execution[C]∥IEEE International Conference on Robotics and Automation,2007.IEEE,2007:4911-4918 [3] Yang Q,Wu K,Jiang Y.Learning action models from plan ex-amples using weighted MAX-SAT[J].Artificial Intelligence,2007,171(2):107-143 [4] McCarthy J.Elaboration tolerance.1997-09-09.http:/www-formal.stanford.edu/juc./elaboration.html [5] Gelfond M,Kahl Y.Knowledge Representation,Reasoning,and the Design of Intelligent Agents.http://redwood.cs.ttu.edu/~mgelfond/FALL-2012/book.pdf [6] IPC(2003).http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume20/long03a-html/ node37.html [7] Balduccini M.Learning Action Descriptions with A-Prolog:Ac-tion Language C[C]∥AAAI Spring Symposium:Logical Formalizations of Commonsense Reasoning.2007:13-18 [8] Gebser M,Grote T,Kaminski R,et al.Reactive answer set programming[M].Logic Programming and Nonmonotonic Reasoning.Springer Berlin Heidelberg,2011:54-66 [9] Wang X.Learning by observation and practice:An incremental approach for planning operator acquisition[C]∥ICML.1995:549-557 [10] Sil A,Yates A.Extracting STRIPS Representations of Actions and Events[C]∥RANLP.2011:1-8 [11] Boose J H,Gaines B R.Knowledge acquisition for knowledge-based systems:Notes on the state-of-the-art[J].Machine Learning,1989,4(3/4):377-394 [12] Benson S.Learning action models for reactive autonomous Agents[D].Stanford university,1996 [13] 谢颖.归纳逻辑程序设计初探[D].北京:北京师范大学哲学系,2008 [14] Stuart R,Peter N.人工智能—一种现代方法(第2版)[M].姜哲,金栾江,等译.北京:人民邮电出版社,2010 [15] Lorenzo D.Learning non-monotonic causal theories from narratives of actions[C]∥NMR.2002:349-355 [16] Pasula H,Zettlemoyer L S,Kaelbling L P.Learning Probabilistic Relational Planning Rules[C]∥ICAPS.2004:73-82 [17] Yang Q,Wu K,Jiang Y.Learning Actions Models from Plan Examples with Incomplete Knowledge[C]∥ICAPS.2005:241-250 |
No related articles found! |
|