Execution environments are used as specifications for specialization of input-output programs in the derivation of product lines. These environments, formalized as color-blind I/O-alternating transition systems, are tolerant to mutations in a given program’s outputs. Execution environments enable new compiler optimizations, vastly exceeding usual reductions. We propose a notion of context-depen...

Representing and reasoning about spatial terms is an essential ability for cognitive systems interacting with humans in a shared environment. Consider an agent asked to remain “in the safe zone” during a military engagement. The size, shape, and location of this area depends on the capabilities of the agent, other agents in the scene, and the constraints imposed by the environment. We call thes...

Play fighting in kindling-prone (FAST) and kindling-resistant (SLOW) rats: Potential genetic controls over the components of play. Even though the behavioral components of play fighting have been well characterized in the rat, little is known about the underlying neurobehavioral mechanisms that control them. FAST and S L O W lines of selectively-bred rats were used to determine whether the comp...

What sources of statistical information do humans leverage to organize the mental lexicon? Recently, accounts emphasizing the importance of word frequency have been challenged by accounts emphasizing contextual diversity (CD). The latter suggest that words will be processed faster if they occur in a greater number of unique semantic contexts. Previous corpus studies have operationalized CD by c...

It is proposed that concepts contain two types of properties. Context-independent properties are activated by the word for a concept on all occasions. The activation of these properties is unaffected by contextual relevance. Context-dependent properties are not activated by the respective word independent of context. Rather, these properties are activated only by relevant contexts in which the ...

Automatic generation of models from a set of positive and negative samples and a-priori knowledge (if available) is a crucial issue for pattern recognition applications. Grammatical inference can play an important role in this issue since it can be used to generate the set of model classes, where each class consists on the rules to generate the models. In this paper we present the process of le...

In this paper I articulate a notion of constituency orthogonal both to classical and connectionist approaches. I shall consider three “structure-in-time” connectionist networks (Simple Recurrent Networks, Long Short-Term Memory Models, and Non-classical Connectionist Parsers). I shall argue that explaining compositionality by means of any of these models drives us to an information-processing b...

Ensuring the consistent composition of context-dependent behavior is a major challenge in context-aware systems. Developers have to manually identify and validate existing interactions between behavioral adaptations, which is far from trivial. This paper presents a run-time model for the consistency management of context-dependent behavior, called context Petri nets. Context Petri nets provide ...

We discuss the classical efficiency criteria in density estimation and propose some variants. The context is a general density estimation scheme that contains the cases of i.i.d. or dependent random variables, in discrete or continuous time. Unbiased estimation, optimality and asymptotic optimality are considered. An example of a density estimator that satisfies some suggested criteria is given...

In several industry scenarios, it is often the case that an existing reference workflow has to be adapted according to specific context factors, which might even change at runtime. The adapted workflow instances virtually constitute process variants. In order to keep the efforts for systematic variant configuration and maintenance on a manageable level, recent work has proposed the use of conte...