Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intel...

We are on the verge of developing artificial intelligences that may dwarf the capabilities of human intelligence. How we will interact and thrive alongside such intelligence will be a pressing societal problem. This paper addresses the question of the intelligence of “artificial persons” (organisations of people) that already exist in our modern world. A particular issue – social exclusion from...

ions. Communications of the ACM, 21(5): 401-410. KAUFMAN, K.A., MICHALSKI, R.S., and KERSCHBERG, L. 1991. Mining for knowledge in databases: goals and general description of the INLEN system. In Knowledge discovery in databases. Edited by G. Piatetsky-Shapiro. MIT Press, Cambridge, MA. KODRATOFF. Y., and MICHALSKI, R.S. 1990. Machine learning: an artificial intelligence approach. Vol. 3. Morgan...

Pattern recognition, machine learning and artificial intelligence approaches play an increasingly important role in rational drug design, screening and identification of candidate molecules and studies on quantitative structure-activity relationships (QSAR). In this review, we present an overview of basic concepts and methodology in the fields of machine learning and artificial intelligence (AI...

Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. This paper describes the taxonomy and nature of intelligence. It analyzes roles of information in the evolution of human intelligence, and the needs for logical abstraction in modeling the brain and natural intel...

To implement the complex brain functions of learning, forgetting and memory in a single electronic device is very advantageous for realizing artificial intelligence. As a proof of concept, memristive devices with a simple structure of Ni/Nb-SrTiO3/Ti were investigated in this work. The functions of learning, forgetting and memory were successfully mimicked using the memristive devices, and the ...

The goal of artificial intelligence is to develop a system that could deal with intelligent tasks in autonomous way. This goal is not achieved, but through this research many interesting algorithms have been investigated and developed, and each of them can provide some specific aspect of intelligence. For example, theorem proving [1], task solving [1], expert systems [1], pattern and speech rec...

This paper surveys recent literature in the domain of machine learning techniques and artificial intelligence used to predict stock market movements. Artificial Neural Networks (ANNs) are identified to be the dominant machine learning technique in stock market prediction area. Keywords— Artificial Neural Networks (ANNs); Stock Market; Prediction