Selecting appropriate foods is a complex and evolutionarily ancient problem, yet past studies have revealed little evidence of adaptations present in infancy that support sophisticated reasoning about perceptual properties of food. We propose that humans have an early-emerging system for reasoning about the social nature of food selection. Specifically, infants' reasoning about food choice is t...

Automatic extraction of semantic information, if successful, offers to languages with little or poor resources, the prospects of creating ontological resources inexpensively, thus providing support for commonsense reasoning applications in those languages. In this paper we explore the automatic extraction of synonymy information from large corpora using two complementary techniques: a generic b...

Semi-formally represented knowledge, such as the use of standardized keywords, is a traditional and valuable mechanism for helping people to access information. Extending that mechanism to include formally represented knowledge (based on a shared ontology) presents a more effective way of sharing large bodies of knowledge between groups; reasoning systems that draw on that knowledge are the log...

Consider an urban environment and think to its semi-public realms (e.g., shops, bars, visitors attractions, means of transportation). Who is the maven of a district? How fast and how broad can such maven influence the opinions of others? These are just few of the questions BOTTARI (our Location-based Social Media Analysis mobile app) is getting ready to answer. In this position paper, we recap ...

Enabling Ambient Intelligence systems to understand the activities that are taking place in a supervised context is a rather complicated task. Moreover, this task cannot be successfully addressed while overlooking the mechanisms (common-sense knowledge and reasoning) that entitle us, as humans beings, to successfully undertake it. This work is based on the premise that Ambient Intelligence syst...

The paper seeks to explain in what sense pragmatism was for Peirce a doctrine of logic. It is argued that logic because its maxim, the pragmatic maxim methodeutic abduction, i.e., concerns method selecting hypotheses experimental testing. also connects this idea Peirce’s 1913 thesis according which contributes security but not uberty reasoning. connection consists by excluding cannot be tested,...

Introduction. The aim of medical education is to produce competent , caring physicians. Self-confidence is another attribute often considered desirable for physicians. Confidence is a key to developing the sense of quantity that has been long recognized as a desirable characteristics of physicians, and confidence has a subjective marker of competence, An analytic descriptive survey was carri...

Automatic extraction of semantic information, if successful, offers to languages with little or poor resources, the prospects of creating ontological resources inexpensively, thus providing support for commonsense reasoning applications in those languages. In this paper we explore the automatic extraction of synonymy information from large corpora using two complementary techniques: a generic b...

UNDERSPECIFIED REPRESENTATIONS have been proposed as a way of formalizing sentence disambiguation in terms of (usually, nonmonotonic) reasoning. But in fact the existing theories about the semantics of underspecified representations either fail to capture our intuitions about ambiguity, or lead one to believe that the kind of inferences used in disambiguation have nothing to do with what we usu...

When artificial intelligence seeks to make reasoning “mechanical,” it means reasoning carried out by a machine or definite procedure rather than a form of behavior satisfying the laws of mechanics. This paper describes work on the mechanization of reasoning in the latter sense, aiming to formalize reasoning systems using the science of mechanics. The paper describes how the formal concepts of m...