By Joaquim Filipe, Ana Fred
This publication constitutes the completely refereed post-conference lawsuits of the fifth overseas convention on brokers and synthetic Intelligence, ICAART 2013, held in Barcelona, Spain, in February 2013. The 20 revised complete papers provided including one invited paper have been rigorously reviewed and chosen from 269 submissions. The papers are prepared in topical sections on man made intelligence and on agents.
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Additional info for Agents and Artificial Intelligence: 5th International Conference, ICAART 2013, Barcelona, Spain, February 15-18, 2013. Revised Selected Papers
The consequence would be a broadcasting of messages, which has been realized in the COBB approach . Technically, broadcasting can be done in two ways: by sending messages directly to all other existing individuals, or by using a central black board where the relevant information is posted publicly. The former method would lead to an explosion of the number of transferred messages. f. ), but introduces the problem of a centralized information repository with the drawbacks mentioned earlier.
25]. 0}. In Fig. 4(b), the results of these experiments are visualized. We ordered the plotted data according to the approximated average neighborhood size, which deﬁnes the overall density of the communication graph. Similar to the previous section, there is no inﬂuence of the network density on solution quality. Expectedly, the message complexity increases with larger neighborhoods. Similarly, simulation length decreases with more connections. As in the previous 36 C. Hinrichs et al. section, a trade-oﬀ between run-time in terms of simulation steps, and run-time in terms of exchanged messages is visible.
Ni , Here, each search space has an associated selection variable xij , which deﬁnes whether an element has been chosen (xij = 1) or not (xij = 0). This model is a generalization of the well-known subset-sum problem, where solutions exceeding the target are not allowed (whereas our model approximates c from any side). 1 Mapping to a Distributed System So far, the above formulation is only suitable from a central perspective. In the aimed setting however, each search space is represented by an autonomous decision maker, which we call agents.
Agents and Artificial Intelligence: 5th International Conference, ICAART 2013, Barcelona, Spain, February 15-18, 2013. Revised Selected Papers by Joaquim Filipe, Ana Fred