Real-time Strategy (RTS) games are complex domains which are a significant challenge to both human and artificial intelligence (AI). For that reason, and although many AI approaches have been proposed for the RTS game AI problem, the AI of all commercial RTS games is scripted and offers a very static behavior subject to exploits. In this paper, we will focus on a case-based reasoning (CBR) appr...

ALADIN’ is a knowledge-based system that aids metallurgists in the design of new aluminum alloys. Alloy design is characterized by creativity, intuition and conceptual reasoning. The application of artificial intelligence to this domain poses a number of challenges, including: how to focus the search, how to deal with subproblem interactions, how to integrate multiple, incomplete design models ...

Research in Artificial Intelligence (AI) and in related areas (e.g. Information Systems) has progressed more or less independently over the years. Individual areas have enjoyed considerable success in the development of technologies for independent AI faculties. Due to the diversity of computational techniques employed in implementing AI systems must considerable effort sometimes be spent on th...

The future of modern education and web-based learning is inherently associated with the advancement in technologies computing capacities new smart machines, such as artificial intelligence (AI). AI a high-performance environment powered by special processors that use cognitive for machine data analytics. There are major challenges online or learning, flexibility, student support, classification...

using image processing and artificial intelligence systems in agriculture and food industry is increasing daily. the purpose of this research is to study the feasibility of using image processing technique in predicting process of moisture content changes on green tea sheets during the drying using predictive artificial intelligence systems such as: artificial neural networks and adaptive neuro...

Through the course of this paper we define Locationbased Intelligence (LBI) which is outgrowing from process of amalgamation of geolocation and Business Intelligence. Amalgamating geolocation with traditional Business Intelligence (BI) results in a new dimension of BI named Location-based Intelligence. LBI is defined as leveraging unified location information for business intelligence. Collecti...

Artificial Stock Markets (here after ASM) have received an increasing amount of academic interest since the seminal works of [20] or [17]. Such platforms have benefitted from advances and new methods developed in the field of multi agent-systems (see for example [10], [14] and [27]). These Agent-Based virtual environments are particularly useful to study various aspects of the financial world i...

This paper proposes modeling of artificial emotions through agents based on symbolic approach. The symbolic approach utilizes symbolic emotional rule-based systems (rule base that generated emotions) with continuous interactions with environment and an internal ‘‘thinking’’ machinery that comes as a result of series of inferences, evaluation, evolution processes, adaptation, learning, and emoti...