Bevatron Operation and Development V

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PhD thesis, Computer Sciences Laboratory, The Australian National University (2005) 24. : A Theory of Learning Classification Rules. PhD thesis, School of Computing Science, University of Technology, Sydney (1992) 25. : Personalisation for user agents. , et al. ) Fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), pp. 603–610 (2005) An Argumentation Based Semantics for Agent Reasoning Sanjay Modgil Department of Computer Science, Kings College London Abstract.

Analogous comments apply to aggregate. Now let us look more closely at what the architecture of the agent would look like if the rational agent architecture were used for this task. The function groupLikes is the latter component of one of the evidence features, say e1 . ) There are likely to be other evidence features as well. For example, there may be an evidence feature that determines whether all the occupants are free to watch the program at the time it is on. ) Probabilistic and Logical Beliefs 35 Note that, for this example, elements in V1 have type Density Ω.

N , respectively, then (t1 , . . , tn ) is a term of type α1 × · · · × αn . 6. If t is a term of type α and i ∈ {1, . . , m}, then i t is a term of type α. t (in accord with the intended meaning of Σα and Πα ). Thus, in higher-order logic, each quantifier is obtained as a combination of an abstraction acted on by a suitable function (Σα or Πα ). The polymorphic version of the logic extends what is given above by also having available parameters which are type variables (denoted by a, b, c, .

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