Everyday experience suggests that highly emotional events are often the most memorable, an observation supported by psychological and pharmacological studies in humans. Although studies in animals have shown that nondeclarative emotional memory (behaviors associated with emotional situations) may be impaired by lesions of the amygdala, little is known about the neural underpinnings of emotional...

The goal of the LP+ project at the K.U.Leuven is to design an expressive logic, suitable for declarative knowledge representation, and to develop intelligent systems based on Logic Programming technology for solving computational problems using the declarative specifications. The ID-logic is an integration of typed classical logic and a definition logic. Different abductive solvers for this lan...

Existing plan synthesis approaches in artiicial intelligence fall into two categories { domain independent and domain dependent. The domain independent approaches are applicable across a variety of domains, but may not be very eecient in any one given domain. The domain dependent approaches need to be (re)designed for each domain separately, but can be very eecient in the domain for which they ...

To determine whether youth athletes with an "average" (regional), "high" (sub-elite), and "very high" (elite) level of performance differ with respect to their self-assessed tactical skills, 191 youth field hockey players (mean age 15.5 years, s = 1.6) completed the Tactical Skills Inventory for Sports (TACSIS) with scales for declarative ("knowing what to do") and procedural ("doing it") knowl...

Plan synthesis approaches in AI fall into two categories: domain-independent and domain-dependent. The domainindependent approaches are applicable across a variety of domains, but may not be very efficient in any one given domain. The domain-dependent approaches can be very efficient for the domain for which they are designed, but would need to be written separately for each domain of interest....

Existing plan synthesis approaches in artiicial intelligence fall into two categories { domain independent and domain dependent. The domain independent approaches are applicable across a variety of domains, but may not be very eecient in any one given domain. The domain dependent approaches need to be (re)designed for each domain separately, but can be very eecient in the domain for which they ...

The fact that medial temporal lobe structures, including the hippocampus, are critical for declarative memory is firmly established by now. The understanding of the role that these structures play in declarative memory, however, despite great efforts spent in the quest, has eluded investigators so far. Given the existing scenario, novel ideas that hold the promise of clarifying matters should b...

Declarative problem solving attempts to tackle problems using a high-level representation of the expert knowledge on the problem at hand. In a logical setting such a declarative representation would employ an alphabet of constants, functions and predicate symbols that naturally represent objects, functions and relationships between these objects in the domain of discourse. In a truly declarativ...

Existing plan synthesis approaches in artiicial intelligence fall into two categories { domain independent and domain dependent. The domain independent approaches are applicable across a variety of domains, but may not be very eecient in any one given domain. The domain dependent approaches need to be (re)designed for each domain separately, but can be very eecient in the domain for which they ...

In this paper, we use declarative and domain–specific languages for representing expert knowledge in the field of change management in organisational psychology. Expert rules obtained in practical case studies are represented as declarative rules in a deductive database. The expert rules are annotated by information describing their provenance and confidence. Additional provenance information f...