Intelligent Distributed Computing III: Proceedings of the by Nicholas R. Jennings, Alex Rogers (auth.), George Angelos

By Nicholas R. Jennings, Alex Rogers (auth.), George Angelos Papadopoulos, Costin Badica (eds.)

This booklet represents the peer-reviewed lawsuits of the 3rd foreign Symposium on clever disbursed Computing – IDC 2009 held in Ayia Napa, Cyprus in the course of October 13-14, 2009.

The 36 contributions during this booklet tackle many subject matters with regards to concept and purposes of clever dispensed computing, together with: actor-agent platforms, agentbased simulation, autonomic computing, computational provider economies, defeasible reasoning, dispensed information mining, disbursed good judgment programming, e-learning, emergent homes in complicated platforms, formal equipment of clever allotted platforms, genetic and evolutionary algorithms, info retrieval, wisdom fusion, multi-sensor networks, cellular advert hoc networks, cellular computing, ontologies and metadata, peer-to-peer networks, strategy modeling and integration, distant sensing allotted platforms, safe e-payment structures, social networks, surveillance and catastrophe administration purposes, swarm computing, internet prone and systems.

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3 Propositional Case We describe with propositional letters the facts of the world of the agents. Let AGT = {i, j, . } be the set of agents, and Atom = {p, q, . } the set of propositional letters. We associate modal operators Si , Ki and Qi to every i ∈ AGT. The formulae Si A, Ki A and Qi A are read “agent i said A”, “agent i knows A”, and “agent i asks if A”, respectively. In general the modal operators Si and Qi are non-normal [6], and are hence neither closed under logical truth, logical consequence, conjunction, nor material implication [3].

B-c). Moreover he can continue the old one, so he gets a solution (Fig. d). Meantime agent 1 and agent 5 transmit their knowledge. At time point 3 agent 2 and agent 4 transmit agent 1’s and agent 5’s knowledge about father/2 and mother/2 and time point 4 agent 3 can use this information to find the final solution (Fig. e-f). Now let us define a model for this example. This model is similar to the propositional case. Here instead of set of atoms we have a set of Horn rules Rules and set of call formulae Call.

It leads to transmission of redundant packets. Packets can go in a loop forever. For dense networks, it causes significant contention and collisions – the so-called broadcast storm problem. An improvement to blind flooding is to choose only a subset of nodes to rebroadcast and in this manner to reduce the number of data transmissions. Several alternatives are presented next. The probabilistic scheme [17, 18] is similar to blind flooding, except that nodes only re-broadcast with a predefined probability.

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