Deshopping is rapidly turning into a modern day scourge for the retailers due to its prevalence and regularity. The presence of flexible return policies have made retail return management a real challenging issue for both the present and the future. In this paper, we propose a hybrid framework for modelling, simulating and analysing deshopper behavior, company reaction policies, and strategic i...

Intelligent systems are process coupled with robotics in industrial usually settings, though they may be used as diagnostic systems connected only to passive sensors. In this paper we use a new method which combines an intelligent genetic algorithm and multiple regression to predict the hardness of hardened specimens. The hardness of a material is an important mechanical property affecting mech...

The Project Execution and Management Environment Server (PEME) is a software platform implementing the Model Designed User Environments. PEME is also a Web-based context management system where context has to do with contents, organizations and tools. PEME is generated from knowledge models. The main purpose of PEME is to provide an intermediate layer through which endusers can interact with th...

Experience with multi-agent applications has shown the intelligent agent to be a valuable software concept with the potential to be more widely used in defence command decision modelling. The ability of intelligent agents to perform simple tasks autonomously has aroused much interest in potential military simulation applications, such as to support procurement, force development, evaluation of ...

Procedural modelling of three-dimensional shapes plays significant role in many areas nowadays. Methods based on the automation of modelling process offer a variety of three-dimensional structures saving time and money. Geometry synthesis is currently used in many fields including digital cinema, electronic entertainment and simulation. Especially in case of terrain modelling, there is a need t...

Intelligent adaptive systems are sensitive to their environment, which enables them to address the complexity of modern software systems. As a result, they are able to adapt to changes in the environment autonomously. Numerous algorithms are available to provide adaptivity to the system. However, formal methods have not been widely used for specification and verification of adaptive systems. Ou...

Intelligence and Knowledge play more and more important roles in building complex intelligent systems, for instance, intrusion detection systems, and operational analysis systems. Knowledge processing in complex intelligent systems faces new challenges from the increased number of applications and environment, such as the requirements of representing domain and human knowledge in intelligent sy...

Intelligent Agents are being used to model simple rational behaviours in a wide range of distributed applications. In particular, agents based on the Belief-Desire-Intention (BDI) architecture have been used successfully in situations where some modelling of human reasoning and team cooperation has been needed, such as simulation of tactical decision making in air operations and command and con...

Dementia causes cognitive deficits producing functional impairments. Continuous care and monitoring are thus compulsory to keep at home elders suffering from dementia. Intelligent habitat can play a central role toward a global and integrated solution and alleviate relatives from the care burden. The general idea is twofold. On the one hand, the physical environment could supplement elder cogni...

Ambient learning is an area that combines mobile learning, situated learning and context awareness, where the learners wish to learn anytime, anywhere and anyhow. The context of ambient learners is dynamic and they tend to engage in short bursts of learning, where the learning content must be adapted to the dynamic nature of their learning needs. One of the challenges of supporting such learner...