We describe a novel noisy-logical distribution for representing the distribution of a binary output variable conditioned on multiple binary input variables. The distribution is represented in terms of noisy-or’s and noisy-and-not’s of causal features which are conjunctions of the binary inputs. The standard noisy-or and noisy-andnot models, used in causal reasoning and artificial intelligence, ...

By employing hybrid dynamical systems-oriented techniques for reasoning about dynamical systems, it is possible to formalize some typically informal meta-intelligence about realtime intelligence of embodied agents. Furthermore, this meta-reasoning could be straightforwardly implemented in an embodied agent, forming a basis for meta-intelligent planning or deeper logical reflection. This paper c...

Research between physical activity and cognitive work in children is still relatively rare inconsistent, even though children's motor development learning are related to positive effects on academic work. This study aims determine the increase mathematical logical intelligence of early childhood through activity. action research. type research was a sequential exploratory design. Data analysis ...

The learners’ ability to write a well-organized argumentative essay has gained prominence within the last decades. The multiple intelligences play a significant role in enhancing the precision of both language and thought during the writing process. The current study aimed at investigating the possible relationship between linguistic and logical intelligences and the frequency of informal falla...

a comparative study of the nature of emotional intelligence on foreign language learning in nursing and health students in urmia university of medical science     farokheslamlou n [1]     received: 14 may , 2013 accepted: 9 aug , 2013    abstract  background & aims : intelligence traditionally is defined according to mathematical - logical language abilities. psychologists have called the most ...

Until recently, the symbolic knowledge representation school was the dominant school of thought in Artificial Intelligence. Its aim was to develop a computational theory of intelligence in which all thought was represented in symbolic, logical form, and intelligence itself was viewed primarily as a goal-oriented problem-solving activity. The world, in which thinking took place, was given little...