By Béatrice Duval, Jaap van den Herik, Stephane Loiseau, Joaquim Filipe
This ebook constitutes the completely refereed post-conference court cases of the sixth overseas convention on brokers and synthetic Intelligence, ICAART 2014, held in Angers, France, in March 2014.
The 21 revised complete papers offered including one invited paper have been conscientiously reviewed and chosen from 225 submissions. The papers are geared up in topical sections on brokers and on synthetic intelligence.
Read or Download Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers PDF
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Additional info for Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6–8, 2014, Revised Selected Papers
The key modules are markets, electricity supply, electricity demand and regulatory aspects. The main players participating in the wholesale electricity market are modelled individually; small companies are represented in an aggregated form. Diﬀerent types of market participants are modelled as diﬀerent types of agents. Each agent takes over certain roles, makes decisions based on speciﬁed functions and either takes part in or sets rules for a respective market. A simpliﬁed overview of the model structure with two market areas is given in Fig.
One aspect thereof is the implementation of market-based mechanisms to allocate limited cross-border capacities between European countries. The Central Western Europe (CWE) Market Coupling between Germany, France, Belgium, the Netherlands and Luxemburg serves as one of the most prominent examples. Market coupling maximizes social welfare, leads to price convergence and helps to balance diﬀerent supply and demand situation in the interconnected market areas. The integration of 34 A. Bublitz et al.
In the baseline, we have identiﬁed four dimensions of variation: which room a robot initially will visit, how a robot uses knowledge obtained about another robot through interference, how it selects a (next) room to visit, and what a robot will do when holding a block that is not needed now but needed later. Initial Room Selection. At the beginning of the task, a robot has to choose a room to explore since it does not have any information about the dispersed blocks in the environment. One possible option labeled (1a) is to choose a random room without considering any distance information.