The environment is an essential component of multi-agent systems, which is often used to coordinate the behaviour of individual agents. Recently many programming languages have been proposed to facilitate the implementation of such environments. This extended abstract is motivated by the emerging programming languages that are designed to implement environments in terms of normative concepts su...

Normative systems in a multiagent system must be able to evolve over time, for example due to actions creating or removing norms in the system. The only formal framework to evaluate and classify normative system change methods is the so-called AGM framework of theory change, which has originally been developed as a framework to describe and classify both belief and normative system change. Howe...

When participants assess the relationship between two variables, each with levels of presence and absence, the two most robust phenomena are that: (a) observing the joint presence of the variables has the largest impact on judgment and observing joint absence has the smallest impact, and (b) participants’ prior beliefs about the variables’ relationship influence judgment. Both phenomena represe...

Domain-specific approaches of the Wason selection task (WST) have postulated specifically adapted schemas or Darwinian algorithms and abandoned a normative concept of rationality. We propose a flexible deontic logic theory (FDL theory), which is domain-specific but normative. The test of a prescriptive rule does not involve testing its truth, as in the standard WST, but rather selecting cases i...

The objective of this study is to establish the effects of age, gender, and education and to provide preliminary normative data for letter and category fluency tasks in the Egyptian Arabic-speaking population. We evaluated 139 cognitively healthy volunteers aged 20-93 by adapting the letter and category verbal fluency tasks for the Egyptian population. On the letter fluency task, mean number of...

A classification of constraints is proposed that represents not only the individual and negotiated decisions of multiple agents as constraints, but also the exceptions that can occur at execution time. A design of an exception mechanism is then proposed based on task-environment constraints. This mechanism is composed of an informative and a normative component. The informative component functi...

In two experiments, participants made causal judgments from contingency information for problems with different objective contingencies. After the judgment task, the participants reported how their judgments had changed following each type of contingency information. Some reported idiosyncratic tendencies--in other words, tendencies contrary to those expected under associative-learning and norm...

OBJECTIVE: To identify normative blood pressure (BP) levels for Brazilian newborn infants and to define a cut-off point for high systolic and diastolic BP in this population.METHODS: 634 healthy term neonates, aged 12 to 36 hours, who were born in the Instituto Materno Infantil de Pernambuco (IMIP) were included in this survey. An oscillometric method was used to acess the neonates BP. To ident...

In this paper, NARS (Non-Axiomatic Reasoning System) is discussed in the context of Cognitive Science. NARS is an artificial general intelligence system designed under the assumption that the system usually has insufficient knowledge and resources with respect to the problems to be solved, and must adapt to its environment. Since the human mind was evolved under the same restriction, this norma...