in this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. we first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. then we propose two mean-absolute deviation models by defining risk as abs...

This thesis aims to explore and demonstrate the ability of the new standard of structural and behavioural components in Unified Modelling Language (UML 2.0 / 2004) to model the learning behaviour of Intelligent Agents. The thesis adopts the research direction that views agent-oriented systems as an extension to object-oriented systems. In view of the fact that UML has been the de facto standard...

According to accounts of inter-speaker coordination based on internal predictive models, speakers tend to imitate each other each time they need to coordinate their behavior. According to accounts based on the notion of dynamical coupling, imitation should be observed only if it helps stabilizing the specific coordinative pattern produced by the interlocutors or if it is a direct consequence of...

It has been long recognized that successful human tutors are capable of adapting instruction to mitigate barriers (e.g., withdrawal or frustration) to learning during the one-to-one tutoring process. A significant part of the success of human tutors is based on their perception of student affect (e.g., mood or emotions). To at least match the capabilities of human tutors, computer-based intelli...

The paper deals with some important aspects of continuous systems modelling approaches. Namely the traditional approach is based on block oriented schemes in which causal relations play an important role. However this causality is artificially generated in order to fulfil appropriate conditions for simulation on conventional sequential computers. Fortunately new concepts which are based on obje...

The perspective of modelling agents rather than using them for a specificed purpose entails a difference in approach. In particular an emphasis on veracity as opposed to efficiency. An approach using evolving populations of mental models is described that goes some way to meet these concerns. It is then argued that social intelligence is not merely intelligence plus interaction but should allow...

Purpose: Modeling of production systems is very important and makes optimization of complicated relation in production system possible. The purpose of this paper is introducing artificial techniques, like Genetic Algorithms in modeling and optimization of job shop scheduling in production environment and in programming of CNC machine tools. Design/methodology/approach: Conventional methods are ...

Database (DB) modelling is the foundation of an efficient database. Similar to other design tasks, database modelling requires extensive practice to excel in it. Conventionally, DB modelling is taught in classrooms where the task of modelling a typical database is demonstrated and students practice in tutorials. Even though one-to-one human tutoring is the most effective teaching method, there ...

Multi-agent systems can be successfully modelled and specified as interacting complex components in a compositional architecture. Compared to the specification of single agent compositional systems, the specification of multi-agent systems requires additional design (or modelling) choices. In this paper, design choices regarding interaction and autonomy of compositional models of intelligent ag...