ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...

This paper investigates the market management and modeling based on advanced artificial intelligence. The proposed model deploys combination of support vector machine fuzzy set theory to provide a practical powerful prediction for price over next day. A realistic effective is then introduced players, such as renewable energy sources solar wind turbines, well fossil-fueled micro turbines fuel ce...

The abundant existence of both structured and unstructured data rapid advancement statistical models stressed the importance introducing Explainable Artificial Intelligence (XAI), a process that explains how prediction is done in AI models. Biomedical mental disorder, i.e., Autism Spectral Disorder (ASD) needs to be identified classified at early stage itself order reduce health crisis. With th...

This paper presents the recommendation techniques applied in Personal Program Guide (PPG), a system generating personalized Electronic Program Guides for digital TV. The PPG recommends TV programs by relying on the integration of heterogeneous user modeling techniques. Copyright Springer Verlag. This paper is going to appear in the Proceedings of the 8th AI*IA Conference, Pisa, 2003, published ...

Because of the great interest in using multiagent systems (MAS) in a wide variety of applications in recent years, agentoriented methodologies and related modeling techniques have become a priority for the development of large scale agentbased systems. The work we present here belongs to the disciplines of Software Engineering and Distributed Artificial Intelligence. More specifically, we are i...

Outline. For RoboCup agents, a modular architecture for multiagent systems is desirable, that enables us to build a useful world model for each agent, that includes information about the position of the agent and other objects, and a history of past situations. It should also be possible to specify high-level behavior, such as a kick to a certain destination and cooperative behavior. Therefore,...

One goal of artificial intelligence research into case-based reasoning (CBR) systems is to develop approaches for designing useful and practical interactive case-based environments. Explaining each step of the design of the case-base and of the retrieval process is critical for the application of case-based systems to the real world. We describe herein our approach to the design of IDEM--Images...