publication . Article . Part of book or chapter of book . 2016

Robot Task Planning in Deterministic and Probabilistic Conditions Using Semantic Knowledge Base

Ahmed Abdulhadi Al-Moadhen; Michael S. Packianather; Rossitza Setchi; Renxi Qiu;
Open Access English
  • Published: 01 Jan 2016
  • Publisher: IGI Global
  • Country: United Kingdom
Abstract
New method is proposed to increase the reliability of generating symbolic plans by extending the\ud Semantic-Knowledge Based (SKB) plan generation to take into account the amount of information and\ud uncertainty related to existing objects, their types and properties, as well as their relationships with\ud each other. This approach constructs plans by depending on probabilistic values which are derived\ud from learning statistical relational models such as Markov Logic Networks (MLN). An MLN module\ud is established for probabilistic learning and inference together with semantic information to provide a\ud basis for plausible learning and reasoning services in ...
Subjects
free text keywords: TJ, TS, Probabilistic logic, Artificial intelligence, business.industry, business, Inference, Semantic domain, Semantic memory, Knowledge management, Computer science, Robot, Markov logic network, Predicate (grammar), Markov chain
Related Organizations
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