Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages are widely used for expressing the declarative knowledge needed in artificial intelligence systems. Symbolic logic also provides a clear semantics for knowledge representation languages and a me...

two hundred and fifty-eight iranian university students estimated their own, parents', and partners' overall (general) intelligence, and also estimated 13 'multiple intelligences' on a simple, two-page questionnaire which was previously used in many similar studies. in accordance with previous research, men rated themselves higher than women on logical-mathematical, spatial and musical intellig...

Introduction Most definitions of intelligence focus on capabilities that are relevant to scholastic performances. However, there are seven forms of intelligences. There is a lack of data on multiple intelligences in Indian children. Hence, this study was conducted to assess different forms of intelligences in students and compared these diverse intelligences with intelligence quotient (IQ) scor...

Creativity is usually not considered to be a major issue in current AI and AGI research. In this paper, we consider creativity as an important means to distinguish human-level intelligence from other forms of intelligence (be it natural or artificial). We claim that creativity can be reduced in many interesting cases to cognitive mechanisms like analogymaking and concept blending. These mechani...

Contemporary analytical epistemology and logical artificial intelligence are complementary disciplines. This is most apparent when considering the structure of what we call epistemic relations, among which inferential are of special concern. In this essay we discuss key correspondence results between semantics for logic programs and default logic. Our aim is to show that there now exist suffici...