The goal of this paper is two-fold: first, to emphasize causality in disease ontology and knowledge representation, presenting a general and cursory discussion of causality and causal chains; and second, to clarify and develop the River Flow Model of Diseases (RFM). The RFM is an ontological account of disease, representing the causal structure of pathology. It applies general knowledge of caus...

Causation is a psychological tool of humans to understand the world and it is projected in natural language. Causation relates two events, so in order to understand the causal relation of those events and the causal reasoning of humans, the study of causality classification is required. We claim that the use of linguistic features may restrict the representation of causality, and dense vector s...

In this paper an effort is made in order to investigate the nexus of dynamic interrelations between the general macroeconomic environment of Greek economy with a special reference to the real wages determination. For the causality analysis among real wages, consumer price index, labour productivity, unemployment rate and gross domestic product a multivariate autoregressive VAR model was used, c...

Aiming to increase exports only as absolute value and not focusing on added will result in any other than bringing the imports a country where depend imports. Turkey is one of most important examples that are experiencing this problem. The success national target depends performance regional local trade strategies. This study aims reveal which regions export dependent by analyzing causality rel...

We present a general conceptualization of causal relations that pivots on the distinction between causality, a law-like relation between types of events, and causation, the actual causal relation that holds between individual events. This distinction finds its formal characterization and embedding within DOLCE, in terms of a number of dependences between (types of) quality changes. Finally an a...

According to the Ahlowalia hypothesis (1995), the growth of total factor productivity (TFP) beside infrastructure investments of government lead to income inequality decrease in rural areas of countries. The main objective of this study is to investigate the effects of public investments such as agricultural R&E, road, education and irrigation on income inequality in rural areas of Iran. In ord...

The acquisition of causal knowledge is a primary goal of childhood; yet most of this knowledge is known already to adults. We argue that causal learning which leverages social reasoning is a rapid and important route to knowledge. We present a computational model integrating knowledge about causality with knowledge about intentional agency, but using a domaingeneral mechanism for reasoning. Inf...

The limitations on scattering amplitudes imposed by causality requirements are deduced from the demand that the commutator of field operators vanish if the operators are taken at points with space-like separations. The problems of the scattering of spin-zero particles by a force center and the scattering of photons by a quantized matter field are discussed. The causality requirements lead in a ...

The A virtually linked knowledge base is designed to utilize a pre-constructed knowledge base in a dynamic mode when it is in actual use. An algorithm is proposed for causality reasoning based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonym, and other features. These lexical knowledge bases have mainly made ...

Report SFB 124 15 / 92, December 1992 Abstract: The paper shows that characterizing the causal relationship between significant events is an important but non-trivial aspect for understanding the behavior of distributed programs. An introduction to the notion of causality and its relation to logical time is given; some fundamental results concerning the characterization of causality are present...