Titlebook: Agents and Artificial Intelligence; International Confer Joaquim Filipe,Ana Fred,Bernadette Sharp Conference proceedings 2010 Springer-Verl

epidermis

芳香一點(diǎn)

Extending Learning Vector Quantization for Classifying Data with Categorical Valuesategorical values. The batch learning rules make possible to construct the learning methodology for data in categorical nonvector spaces. Experiments on UCI data sets demonstrate the proposed algorithm is effective to improve the capability of standard LVQ to handle data with categorical values.

MARS

HomeManager : Testing Agent-Oriented Software Engineering in Home Intelligence an application for the control of an intelligent home designed through the . agent-oriented methodology. There, the house is seen as an intelligent environment made of independent, distributed devices, each equipped with an agent to support the user’s goals and tasks.

neutralize

https://doi.org/10.1057/9780230106437e transparent to humans and still intrinsically involved in our daily living. This paper provides a brief overview of the evolution of these fields, describes some of the current developments, and points at some of the immediate challenges that researchers in these area face.

悄悄移動(dòng)

Culture and Immigration in Contextwho intend to participate in these environments. Our main result is a formal characterization of the class of multiagent domains that serve as formal semantics for—and can be described in—the Game Description Language.

高原

Decline

滑稽

Generosity

Allen McBride,Robert K. Toburentions according to the architectural specifications of CASL..Although we only consider two layers in the present paper, we see no reason why the approach should not be extended to any finite number of tiers. We prove soundness and completeness proofs for our logics.

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