E. Alonso and D. Kudenko. Logic-based multi-agent systems for conflict simulations. In UKMAS, 2000. Home/Search Document Details and Download
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Machine Learning and Inductive Logic Programming for.. - Kazakov, Kudenko (2001) Self-citation (Kudenko) (Correct)
....of the type of time constraints and time synchronisation of the individual agents actions is schematically represented in Table 2. Table 2. Synchronisation Theta time constraints Unlimited Upper bound Real time time 1 move per round, Logic based MAS for batch update conflict simulations [18] 1 move per round, The York Multi agent immediate update Environment [14] Asynchronous Multi agent Progol [30] Learning and Recall Each time the sensory information about the world is updated, an agent that is able to learn has to choose whether to recall its existing model of the world to ....
.... software implementing the agent s behavior are obtained, and compared with the intentions of the agent s designers to help the debugging process [11] A Progol based algorithm for learning action theories of a single agent (mobile robot) is described by Lorenzo and Otero [19] Alonso and Kudenko [1, 18] investigate the application of ILP and EBL to complex multi agent domains such as conflict simulations. The learning is based on reinforcement and recomputation of hypotheses, once they become out ofdate. 5.5 The York Multi agent Environment Some of the ideas discussed so far can be studied on a ....
D. Kudenko and E. Alonso. Logic-based multi-agent systems for conflict simulations. In UKMAS '00, Oxford, UK, 2000.
Multi-Agent Planning with Planning Graph - Bui, Jamroga (2003) (Correct)
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E. Alonso and D. Kudenko. Logic-based multi-agent systems for conflict simulations. In UKMAS, 2000.
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