Recognition of visual patterns is one of significant applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In the paper, a simplified neural approach to recognition of visual patterns is portrayed and discussed. This paper is dedicated for investigators in visual patterns recognition, Artificial Neural Networking and related...

Nowadays, videogames, computer simulations and training are very complex applications because users require higher and higher levels of quality. Artificial Intelligence plays nowadays a fundamental role in videogames and virtual reality applications. Agents interacting with humans must have a credible visual appearance and must maintain user immersion. The most important issues of user’s intere...

The rationale for the present study was to investigate the relationship between cortical volume, the latency of the ERP component P3a (as a measure of speed-of-processing), and performance intelligence (not adjusted for age differences). Seventy-one participants aged 20-88 years underwent a visual 3-stimuli oddball ERP task, an MRI-scan, and intelligence testing. P3a latency and cortical volume...

Ninety-three 1%year-olds were tested with measures thought to tap information processing, sustained attention, executive function, and intelligence. The visual fixation patterns and home rearing conditions of these adolescents, born preterm, had been observed in early infancy. Infant fixation durations were negatively associated with information processing, executive function, and intelligence ...

The diversity and applicability of swarm intelligence is increasing everyday in the fields of science and engineering. Swarm intelligence gives the features of the dynamic features optimization concept. We have used swarm intelligence for the process of feature optimization and feature selection for content-based image retrieval. The performance of content-based image retrieval faced the proble...

Cross-disciplinary research on collective intelligence considers that groups, like individuals, have a certain level of intelligence. For example, the study by Woolley et al. (2010) indicates that groups which perform well on one type of task will perform well on others. In a pair of empirical studies of groups interacting face-to-face, they found evidence of a collective intelligence factor, a...

BACKGROUND Autistic perception is characterized by atypical and sometimes exceptional performance in several low- (e.g., discrimination) and mid-level (e.g., pattern matching) tasks in both visual and auditory domains. A factor that specifically affects perceptive abilities in autistic individuals should manifest as an autism-specific association between perceptual tasks. The first purpose of t...

Computer Science and Artificial Intelligence are technologies and research topics applied to multiple domains. The goal of this paper is to explore which of the new topics of Artificial Intelligence can be applied in the future to Archaeology. The aim is not to give solutions to archaeological problems, but to present three new areas that can be useful to it: Knowledge Discovery in Databases (K...