By Jürgen Dix, João Leite
This e-book constitutes the strictly refereed post-proceedings of the 4th foreign Workshop on Computational good judgment for Multi-Agent structures, CLIMA IV, held in castle Lauderdale, Fl, united states in January 2004.
The eleven revised complete papers offered including 2 invited papers have been conscientiously chosen in the course of rounds of reviewing and development. The papers are dedicated to recommendations from computational good judgment for representing, programming, and reasoning approximately multi-agent structures. The papers are geared up in topical sections on negotiation in MAS, making plans in MAS, wisdom revision and replace in MAS, and studying in BDI MAS.
Read Online or Download Computational Logic in Multi-Agent Systems: 4th International Workshop, CLIMA IV, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited ... PDF
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Additional resources for Computational Logic in Multi-Agent Systems: 4th International Workshop, CLIMA IV, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited ...
Example text
3 we consider the basic concepts and mechanisms that allow us to organise and communicate between agents in a multi-agent space. In §4, we will describe the implementation of the framework described in §2 and §3. In §5 and §6, we conclude by showing an example of how to program group computation and provide concluding remarks and future work. 2 Programming Individual Agents There are many rational agent theories, and agent programming languages. However, the two rarely match. Our approach is to attempt to directly execute rational agent specifications — in this way, we can be more confident that the required behaviour is being exhibited.
1 The Coffee Agent Suppose we have an office building, with an arbitrary number of rooms, attached to corridors, which may also connect to other floors. Suppose furthermore that we want to create a system that lets users order a coffee agent to bring coffee to their desks. We represent rooms and corridors as agents. Each corridor agent contains all the room agents that it connects to. Note that room agents can be member of more than one corridor agent if, for instance, they have doors leading to different corridors.
The reason for this is twofold. Firstly, it allows the programmer to better structure her code. More importantly, it allows for sets 3 Reading messages is not direct interaction, as the agents keeps track of messages read during each cycle, and re-reads them in case of backtracking. 28 M. Fisher, C. Ghidini, and B. Hirsch of formulae which describe a complex behaviour to be identified, and possibly modified (to modify the complex behaviour) within an agent. We provide a (simple) implementation of most of the behaviours depicted in Fig.