Self-Organization is bound to greatly affect computer science. The simplicity and yet power of self-organized models will allow researchers to propose efficient solutions to problems never before thought possible to be addressed efficiently. The published works in the field clearly demonstrate the potential of this approach. This paper first reviews a number of interesting self-organization phenomena found in nature, then it discusses their potential applicability in several computer science application scenarios.

Using Semantic Web technologies in the domain of online recruitment could substantially increase market transparency, lower the transaction costs for employers, and change the business models of the intermediaries involved. In this paper, we describe how online recruitment processes can be streamlined using Semantic Web technologies. We analyze the realization chances of such a scenario from the technological and business viewpoint. We describe a prototypical implementation of the required technological infrastructure and analyze the potential economic impacts, the interests of the involved parties, and potential changes to their business models.

No abstract

No abstract

Natural forming multi-agent systems (aka Swarms) have the ability to grow to enormous sizes without requiring any of the agents to oversee the entire system. The success of these systems comes from the fact that agents are simple and the interaction with the environment and neighboring agents is local in nature. In this paper we look at abstractions in the field of swarms and study their applicability in the context of coordination systems. In particular, we focus on the problematic issue of scalability of Linda systems.