In single-objective optimization it is possible to find a global optimum, while in the multi-objective case no optimal solution is clearly defined, but several that simultaneously optimize all the objectives. However, the majority of this kind of problems cannot be solved exactly as they have very large and highly complex search spaces. Recently, meta-heuristic approaches have become important ...

BCDECF C D C C C C F F CDEC ! C C" C ED F D C C ! C C CF C ! CD C C ED F D C CD#F C C F C F F $C D C CF F FC D! C%D CDECF C F !C ! C F C D ! C & ' B !F D !C ! C F &CF CE C!D F C ED F D C #D FC F F $C (C# F C F (C ! C F ! F (C (C C D (C !D C D (C" CDECF C C CF F F CC ' ) ! C CF FC C FD C C F CED FCD C C FD!* CD C EE FC C+, CE (C (C F!C ' F C C CAD ! F D C C) ! C + A )-CE C.CF C F CE C C D ! C# C...

MASQ (Multi-Agent Systems based on Quadrants) is a generic meta-model that proposes an integral view of interaction in a multi-agent system. It defines four perspectives according to two axes: internal/external and individual/collective. This paper identifies a set of MASQ principles and analyzes how a formal model can be built based on them. We outline the most important design choices that ha...

Group Support Systems (GSS) have been the subject of many investigations and meta-analyses over the past decade. This study presents summarizes and analyzes the results of 100 experiments that used communication mode as an independent variable. The results suggest that use of a GSS improves decision quality, depth of analysis, equality of participation, and satisfaction over manual methods. Add...

Meta-data is the fundamental building block of the Semantic Web. However, the meta-data concept is too loosely defined to provide architectural guidelines for its use. This paper analyzes important uses of meta-data in the e-learning domain, from a pedagogical and philosophical point of view, and abstracts from them a set of fundamental architectural requirements for Semantic Web meta-data. It ...