class position in distributed real-time programming systems: expressibility of time, real-time communication, enforcement of timing constraints, fault tolerance to violations of constraints, ensuring distributed system state consistency in the time domain, and static timing verification. For each

Abstract not found

result of this abstraction and representation mismatch and that features should be elevated to a first-class status. We propose an extension to Java that implements features as first-class entities. We give examples of the syntax and semantics of this extension and explain how the new representation can

Entity Class Method Namespace Attribute Access Invocation Structural Entity Inheritance Parameter History Class History Method History Namespace History Attribute History Access History Invocation History Inheritance History Parameter History ... ...

ABSTRACT We describe a framework for top-down centralized self-adaptive MASs where adaptive agents are "protocol-driven" and adaptation consists in runtime protocol switch. Protocol specifications take a global, rather than a local, perspective and each agent, before starting to follow a new (global) protocol, projects it for obtaining a local version. If all the agents in the MAS are driven by the same global protocol, the compliance of the MAS execution to the protocol is obtained by construction.

www.cs.tcd.ie/Alexandre.Bergel This paper describes a new aspect language construct for Squeak, named FACETS. Aspects are completely integrated within the Squeak programming language and its environment. The innovations of FACETS are: (i) traits can be part of the pointcut definition, (ii) two scoping policies are available to share state among aspects and (iii) aspects are prototype-based.

class position in distributed real-time programming systems: expressibility of time, real-time communication, enforcement of timing constraints, fault tolerance to violations of constraints, ensuring distributed system state consistency in the time domain, and static timing verification. For each

. First, it makes these conditions first class entities and integrates knowledge of them over time, space, and source. Second, it reduces their variance by masking. Third, it exposes key design decisions of an object's implementation and how it will be used. Fourth, it supports reuse of various

and design principles, emphasizing its distinctive ability to extract information without any hand-labeled training examples. In its first major run, KNOW-ITALL extracted over 50,000 class instances, but suggested a challenge: How can we improve KNOWITALL's recall and extraction rate without sacrificing

) and in Spanish (based on data distributed through the First Multilingual Entity Task [MET-1]), and on speech input (based on broadcast news). We report results here on standard materials only to quantify performance on data available to the community, namely, MUC-6 and MET-1. Results have been consistently