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On the Role of BDI Modelling for Integrated Control and Coordinated Behaviour in Autonomous Agents

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Academic year: 2021

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Figure 5. Altering the value of an agent’s ConflictResolutionDepth parameter can affect the timeliness and effectiveness of any predictions it might make.
Figure 4. Varying the value of an agent’s ModelSpeedBounds parameter can affect the agent’s level of sensitivity to environmental change.
Figure 3. (a) Top-level view of the TouringWorld multi-agent testbed. (b) A snapshot of a particular TouringWorld scenario showing various types of (labelled) objects and agents.
Figure 1. A TouringMachine’s mediating control framework.SensoryActionOutputContext-activatedControl RulesModelling Layer (M)Planning Layer (P)Reactive Layer (R)InputPerceptionSubsystemActionSubsystemClock censor-rule-1: if entity(obstacle-6) ∈ Perception-

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