By Johan Holmgren, Linda Ramstedt, Paul Davidsson, Jan A. Persson (auth.), Stephen Cranefield, Insu Song (eds.)
This publication constitutes the refereed lawsuits of the 2 workshops held on the 14th overseas convention on rules and perform of Multi-Agent structures, PRIMA 2011, held in Wollongong, Australia, in November. The workshops have been, Workshop on Agent dependent Simulation for a Sustainable Society (ABSSS 2011) and overseas Workshop on Multi-Agent shrewdpermanent Computing (MASmart 2011). The eight papers awarded have been conscientiously reviewed and chosen from a variety of submissions. The papers hide issues from agent established simulation for a sustainable society and on multi-agent clever computing.
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Waiting 25 years for a norm to converge may not be quite reasonable particularly considering faster preventive measures that we would like to undertake in order to avoid greenhouse gas emissions from energy production. We investigate a meta-norm based intervention approach to facilitate faster norm convergence in Section 5. Table 4. 42 4 The Role of Injunctive Norms Research has shown that adding injunctive norms helps in negating the effects of boomerang influence . In order to examine the role of injunctive norms, we model a scenario where both descriptive and injunctive norm messages are delivered to the agents.
We investigate a meta-norm based intervention approach to facilitate faster norm convergence in Section 5. Table 4. 42 4 The Role of Injunctive Norms Research has shown that adding injunctive norms helps in negating the effects of boomerang influence . In order to examine the role of injunctive norms, we model a scenario where both descriptive and injunctive norm messages are delivered to the agents. Since agents influenced based on both descriptive and injunctive norms, we assume that the boomerang influence is not present in this scenario.
Purvis, and H. Verhagen In this paper we have shown that the use of similarity model results in the least decrease in energy consumption in households in comparison with the local and global model. However, it should be noted that similarity model converges faster than the other two models. Additionally, similarity-based approaches have been successful in other domains such as content-based and collaborative filtering techniques for recommendation of articles and books . We believe, similar to other domains, similaritybased approaches may become the de-facto model for energy-domains.