Artificial Intelligence algorithms can be dividedinto two groups according to the type of problemsthey solve. Knowledge-intensive domains containexplicit knowledge, whereas knowledge-poor domainscontain implicit knowledge. Rules, decision trees andlogical methods are more suitable for the first type.Neural networks and case-based reasoning (CBR) aremore suitable for the second type. This project combines the inferencing power ofepistemic.
Epistemic Logic Planning: Case-Based Planning Adaptation, Using Epistemic LogicRevision for Robot's Decision Making pdf download
Epistemic Logic Planning: Case-Based Planning Adaptation, Using Epistemic LogicRevision for Robot's Decision Making by Shahin Maghsoudi ebook pdf epub mobi
Epistemic Logic Planning: Case-Based Planning Adaptation, Using Epistemic LogicRevision for Robot's Decision Making pdf
Epistemic Logic Planning: Case-Based Planning Adaptation, Using Epistemic LogicRevision for Robot's Decision Making ipod
Monday, December 31, 2018
Epistemic Logic Planning: Case-Based Planning Adaptation, Using Epistemic LogicRevision for Robot's Decision Making download .pdf by Shahin Maghsoudi
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