Topology and memory effect on convention emergence
Sorry, I’m a bit late, but this is the ideas that I’ve seen before, so I hope I’ll be able to complete this part later.
Measures of Context-Awareness for Self-Organizing Systems
Points in common of selforg and ambient intelligence (a boring part about reactive and congnitive agents that I’m not going to comment) and now a bit about context-awareness. Agents connected in agrid with 8 neig (similiar to Kleinberg structure). Two measures: (i) pressure: how important a piece of information is; it represents urgency and determines how important the information is and how it is propagated; and (ii) interest (similar to attention focus) related with data, agents and facts. Showing how information is propagated.
Dynamic Evolution of Role Taxonomies through Multidimensional Clustering in Multiagent Organizations
Ramon Hermoso (a.k.a. Dani Mateo :-)
Related with adaptive organizations. When an agent arrives to a organization, it has to choose a counterpart to interact with. They propose a mechanism to create role taxonomies and to allow them to evolve (that is, to modificate them and, sometimes, to create new ones).
Some comments: Are always new roles specializations of existing ones? Are new roles based on existing actions? Removing roles? Has it any sense? (better remove it when there is no agents in it? who decides the role fora existing agents (supervision??
A Taxonomy of Adaptive Systems
Talking about self-* properties:
- self-stabilization (SSS) = closure +convergence
- selg-organization (SOS) = adaptability +decentralization + local knowledge + homogeneity
- self-management (SMS) = configuration + optimization + healing (fixing)+ protection
- self-adaptation (SAS) = can be considered as a generalization of SSS, SOS and SMS.
Conparing these three approaches in terms of adaptation, architecture and the approach used in their design. Interesting to describe correctly consensus networks. I think that is a SOS+SSS system (importance of the convergence)