Computational Logic and Multi-Agent Systems: 4th by Dix J. (ed.), Leite J. (ed.)

By Dix J. (ed.), Leite J. (ed.)

This ebook constitutes the strictly refereed post-proceedings of the 4th overseas Workshop on Computational common sense for Multi-Agent structures, CLIMA IV, held in fortress Lauderdale, Fl, united states in January 2004.The eleven revised complete papers awarded including 2 invited papers have been rigorously chosen in the course of rounds of reviewing and development. The papers are dedicated to innovations from computational common sense 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.

Show description

Read or Download Computational Logic and Multi-Agent Systems: 4th International Workshop, Clima 2004, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers PDF

Similar computational mathematicsematics books

Computational Nuclear Physics 2

This moment quantity of the sequence bargains essentially with nuclear reactions, and enhances the 1st quantity, which targeting nuclear constitution. offering discussions of either the suitable physics in addition to the numerical tools, the chapters codify the services of a number of the major researchers in computational nuclear physics.

Weather Prediction by Numerical Process

The belief of forecasting the elements via calculation used to be first dreamt of through Lewis Fry Richardson. the 1st variation of this e-book, released in 1922, set out an in depth set of rules for systematic numerical climate prediction. the strategy of computing atmospheric alterations, which he mapped out in nice element during this ebook, is basically the strategy used at the present time.

Additional info for Computational Logic and Multi-Agent Systems: 4th International Workshop, Clima 2004, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers

Example text

3), die, that is, stop the computation of the agent gracefully, merge and clone. The modification of these actions to the agent space is shown in Fig. 4. The actions are initiated by the agent(s) represented as an empty circle. Fig. 3. Changing the agent space: movement 26 M. Fisher, C. Ghidini, and B. Hirsch Fig. 4. Changing the agent space: restructuring 4 Implementing the System The current implementation is based on Java. Agents are represented by threads, and communicate via shared objects, so-called MessageBuffers.

For instance, through abduction, an agent can make hypotheses on the outer world, and on causes of observable events, which is a natural extension of what happens in an expert system. But the role of abduction in multi-agent systems can go beyond the internal agent reasoning. In general, sociable agents will exchange knowledge, ask questions, provide services to each other and, eventually, get to reasonable agreements when decisions are necessary. In this paper, we propose a Computational Logic-based framework for the integration of abductive reasoning and communication.

Although we have not provided explicit code here, this type of example combining rational behaviour in individual agents, together with organisational grouping, is just the type of scenario our language was designed for. 6 Conclusions Agent-based systems are clearly important within both Computer Science research and the software industry. They are used in many areas, including ecommerce [14], industrial process control [4], web services [17] and autonomous vehicles [18]. Moreover, as computational platforms and wireless networking becomes ubiquitous, and software artifacts will increasingly be able to migrate through large physical/virtual distances, access vast amounts of information, spawn new computations on a wide variety of platforms, and so on, so agentbased techniques for mobile and ubiquitous systems will provide such software artifacts with autonomous and ‘intelligent’ behaviour to cater for their dynamic environment, requirements and knowledge.

Download PDF sample

Rated 4.84 of 5 – based on 25 votes