Titlebook: Objects, Agents, and Features; International Semina Mark D. Ryan,John-Jules Ch. Meyer,Hans-Dieter Ehri Conference proceedings 2004 Springer

Flexibility

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書目名稱Objects, Agents, and Features網(wǎng)絡(luò)公開度




書目名稱Objects, Agents, and Features網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Objects, Agents, and Features被引頻次




書目名稱Objects, Agents, and Features被引頻次學(xué)科排名




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書目名稱Objects, Agents, and Features讀者反饋




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LUMEN

ironmental monitoring, agriculture, smart buildings, warehouse tracking, transport logistics and surveillance. The advantages of wireless sensing range from easy deployment, cheaper equipment and enhanced mobility and portability. It should be easy to integrate them into wired distributed sensing sy

BROOK

ample takes into account the mechanisms proposed in other chapters of this book, mainly Chap. .. The node component that provides uniform stream-based configuration, processing and communication for nodes with different characteristics in the heterogeneous sensor is designed. The architecture of nod

rheumatism

galley

甜食

租約

Detecting Feature Interactions: How Many Components Do We Need?,time, by the same, or different components, the features may not interwork. This is known as .. We employ a property-based approach to feature interaction detection: this involves checking the validity (or not) of a temporal property against a given system model. We use the logic LTL for temporal pr

Fecundity

Software Evolution through Dynamic Adaptation of Its OO Design,e which provides objects with the ability of dynamically changing their behavior by using their design information. The meta-level system of the proposed architecture supervises the evolution of the software system to be adapted that runs as the base-level system of the reflective architecture. The

Allege

,Modelling and Analysis of Agents’ Goal-Driven Behavior Using Graph Transformation,ts, dedicated techniques for . are required which go beyond standard techniques of object-oriented modelling..In this paper, an agent-oriented modelling notation for goals and strategies is proposed. Based on graph transformation as semantic domain we show how the behavior of agents can be described

退潮

Giving Life to Agent Interactions, extended to describe specific dynamic aspects of agents including dynamic role assignment, nondeterministic choice in agent decisions and concurrent communication. These diagrams are used to describe agent interaction protocols. We describe some of the problems of extended sequence diagrams in AUML