Prokopenko, M., Butler M. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study. In Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change. Stockholm, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....types of opponents. FC Portugal won at both EuRoboCup 2000 and RoboCup 2000. 2.1. 4 Cyberoos The implementation of this team is based on a hierarchy of logic based agent architectures which captures certain types of situated behavior and some basic classes of more complex tactical behavior [70, 73, 74]. The lowest level in the hierarchy is formed by the Clockwork Agent, which is able to distinguish only between sensory states that have di#erent time values and has no other sensors apart from a timer. Above that is the Tropistic Agent which is characterized by a broader perception action ....

....the year 2000. Team References Roll of honour CMUnited [7, 90, 92, 93, 94, 95, 96, 97] 4th WC97, 1st WC98, 98, 99, 100, 102, 103, 104, 115] 1st 9th WC99, 3rd 4th WC00 Essex Wizards [36, 37, 39, 50, 51, 52, 53] 3rd WC99, 3rd EC00, 7th WC00 FC Portugal [56, 76, 77] 1st EC00, 1st WC00 Cyberoos [13, 69, 70, 71, 72, 73, 74] 3rd PR98, 4th EC00, 9th WC00 Karlsruhe Brainstormers [79, 80] 2nd EC00, 2nd WC00 Magma Freiburg [24, 25, 26] 2nd WC99, 5th WC00 AT Humboldt [3, 10, 11] 1st WC97, 2nd WC98, 7th WC99 Windmill Wanderers [17, 18] 3rd WC98, 9th WC99 Mainz Roling Brains [111, 112, 113] 5th WC98, 5th WC99 YowAI ....

M. Prokopenko and M. Butler. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study. In Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change, pages 57--64, Stockholm, 1999.

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Prokopenko, M., Butler M. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study. In Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change. Stockholm, 1999.

....words, the principal target is a systematic description of increasing levels of agent reasoning abilities. The results reported in [9, 10, 11] demonstrated that this is achievable at the situated level. Preliminary results on the systematic models for basic tactical behaviour were obtained as well [12]. This work intends to use this framework in experimenting with emergent tactical teamwork; and thus build up empirical results and intuition necessary to advance the systematic methodology towards collaborative goal oriented agents. 2 Tactical Agent Architecture While designing architectures ....

....Whenever the TPS res a hysteretic rule, an atomic commands sequence is inserted into a queue for timely execution, inherited from the Clockwork level. In addition, the TPS monitors currently progressing actions, thus providing an explicit account of temporal continuity for actions with duration [13, 12], and allowing us to embed actions rami cations and interactions [9, 11, 12] For example, a dribbling action is suppressed while shooting or passing. It is worth noting that this architecture can be viewed as a subsumption architecture [3] It allows us to easily express desired subsumption ....

[Article contains additional citation context not shown here]

Mikhail Prokopenko and Marc Butler. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study. In Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change, 57-64. Stockholm 1999.

....words, the principal target is a systematic description of increasing levels of agent reasoning abilities. The results reported in [8, 9, 10] demonstrated that this is achievable at the situated level. Preliminary results on the systematic models for basic tactical behaviour were obtained as well [11]. This work intends to use this framework in experimenting with emergent tactical teamwork; and thus build up empirical results and intuition necessary to advance the systematic methodology towards collaborative goal oriented agents. 2 Tactical Agent Architecture While designing architectures ....

....Whenever the TPS fires a hysteretic rule, an atomic commands sequence is inserted into a queue for timely execution, inherited from the Clockwork level. In addition, the TPS monitors currently progressing actions, thus providing an explicit account of temporal continuity for actions with duration [12, 11], and allowing us to embed actions ramifications and interactions [8, 10, 11] For example, a dribbling action is suppressed while shooting or passing. It is worth noting that this architecture can be viewed as a subsumption architecture [3] It allows us to easily express desired subsumption ....

[Article contains additional citation context not shown here]

Mikhail Prokopenko and Marc Butler. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study. In Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change, 57--64. Stockholm 1999.

....during the next simulation cycle(s) the rule will not be fired again. The dribble bit reverts to true when the corresponding action is complete, that is no longer in progress. Monitoring currently progressing actions provides an explicit account of temporal continuity for actions with duration [7, 8], and allows us to embed actions ramifications and interactions [4, 6, 7] For example, the dribbling action will not be invoked during shooting or passing. It is worth noting that the architecture A H can be viewed as a subsumption architecture [1] as well. It allows us to easily express desired ....

....The dribble bit reverts to true when the corresponding action is complete, that is no longer in progress. Monitoring currently progressing actions provides an explicit account of temporal continuity for actions with duration [7, 8] and allows us to embed actions ramifications and interactions [4, 6, 7]. For example, the dribbling action will not be invoked during shooting or passing. It is worth noting that the architecture A H can be viewed as a subsumption architecture [1] as well. It allows us to easily express desired subsumption dependencies between the Hysteretic and Tropistic levels. ....

Prokopenko, M., Butler M. Tactical Reasoning in Synthetic Multi-Agent Systems: a Case Study, to appear in the Proceedings of the IJCAI-99 Workshop on Nonmonotonic Reasoning, Action and Change. Stockholm, 1999.

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