Statistical modeling of data sets by neural-network techniques is offered as an alternative to traditional semiempirical approaches to global modeling of nuclear properties. New results are presented to support the position that such novel techniques can rival conventional theory in predictive power, if not in economy of description. Examples include the statistical inference of atomic masses a...

In the brick manufacturing industry, there is a growing concern among researchers to find solutions reduce energy consumption. An industrial process for obtaining bricks was approached, with mix modified via introduction of sunflower seed husks and sawdust. The analyzed artificial intelligence tools, goal minimizing exhaust emissions CO CH4. Optimization algorithms inspired by human virus behav...

Lead propensity prediction is a data-driven method used to define the value of prospects, by assigning points them based on their engagement with business's digital channels, multiple key attributes correlating attraction proposed services or items. The resulting score closely related financial worth each lead and may be revealing its position in buying cycle. marketing teams can then focus gen...

In view of some shortcomings about frequently used currently shape recognition algorithms a fast geometry figure recognition algorithm Real time Object Detection and 3D modeling system (OD3DM)based on segmentation method is presented in this paper. We will use segment method over convention method. Segmented method includes analysis of objects in segment i.e. in small parts. The Real time Objec...

One of the currently most important discussions in artificial intelligence is modeling personality and emotion in artificial intelligence, chiefly in Human-Computer-Interaction (HCI). The purpose of this research is designing a general model that identifies a user’s affective status based on user’s personality and emotion. The proposed model is composed of two main modules: personality and emot...

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...

In this chapter, we reflect on the concept of Meaning-Based Natural Intelligence a fundamental trait of Life shared by all organisms, from bacteria to humans, associated with: semantic and pragmatic communication, assignment and generation of meaning, formation of self-identity and of associated identity (i.e., of the group the individual belongs to), identification of natural intelligence, int...

Agent-based modeling is used to simulate human behaviors in different fields. The process of building believable models of human behavior requires that domain experts and Artificial Intelligence experts work closely together to build custom models for each domain, which requires significant effort. The aim of this study is to automate at least some parts of this process. We present an algorithm...