Planning Rational Behavior of Cognitive Semiotic Agents in a Dynamic Environment

被引:0
作者
G. S. Osipov
A. I. Panov
机构
[1] Artificial Intelligence Research Institute,
[2] Federal Research Center Computer Science and Control,undefined
[3] Russian Academy of Sciences,undefined
[4] Moscow Institute of Physics and Technology (National Research University),undefined
来源
Scientific and Technical Information Processing | 2021年 / 48卷
关键词
semiotic agent; sign-based world model; causal networks; semiotic network; planning; reinforcement learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:502 / 516
页数:14
相关论文
共 109 条
  • [1] Schwarting W.(2018)Planning and decision-making for autonomous vehicles, Ann. Rev. Control, Rob Auton. Syst. 1 187-210
  • [2] Alonso-Mora J.(2015)ITSAT: An efficient SAT-based temporal planner J. Artif. Intell. Res. 53 541-632
  • [3] Rus D.(2010)The LAMA planner: Guiding cost-based anytime planning with landmarks J. Artif. Intell. Res. 39 127-177
  • [4] Rankooh M.(2015)Progress in case-based planning ACM Comput. Surv. 47 35-812
  • [5] Ghassem-Sani G.(2019)Learning to guide task and motion planning using score-space representation Int. J. Rob. Res. 38 793-110
  • [6] Richter S.(2015)Towards integrated neural–symbolic systems for human-level AI: Two research programs helping to bridge the gaps Biol. Inspired Cognit. Archit. 14 97-1227
  • [7] Westphal M.(2013)Integrated task and motion planning in belief space Int. J. Rob. Res. 32 1194-28593
  • [8] Borrajo D.(2018)Kanhere, S.S., and Jurdak, R., Multi-agent systems: A survey IEEE Access 6 28573-203
  • [9] Roubíčková A.(2014)Vector LIDA Procedia Comput. Sci. 41 188-392
  • [10] Serina I.(2014)CaRINA Intelligent Robotic Car: Architectural design and applications J. Syst. Archit. 60 372-55