Social networks such as Twitter are considered a rich resource of information about actual world actions of all types. Several efforts have been dedicated to trend detection on Twitter i.e., the current popular topics of conver‐ sation among its users. However, despite these efforts, sentiment analysis is not taken into account. Sentiment analysis is the field of study that analyzes people’s op...

I argue that consciousness is an aspect of an agent's intelligence, hence of its ability to deal adaptively with the world. In particular, it allows for the possibility of noting and correcting the agent's own errors. This in turn requires a robust self model as part of its world model, as well as the capability to come to see that world model as residing in its belief base (part of its self mo...

In this paper, we show how an appropriate possible world semantics exhibits the fundamental diierences between various forms of logical reasoning such as deduction, abduction and induction. The ensuing model theoretic formal-isation provides a solid foundation for exact further discourse on the issue, such as deciding whether a particular instance of reasoning should be classiied as abduction o...

We develop possible worlds (Kripke) semantics at the categorical abstract model theoretic level provided by the so-called ‘institutions’. Our general abstract modal logic framework provides a method for systematic Kripke semantics extensions of logical systems from computing science and logic. We also extend the institution-independent method of ultraproducts of [R. Diaconescu, Institution-inde...

An uncertain data model is a system for representing incomplete or uncertain data. An uncertain database asserts that a database is in one of multiple alternative states (possible worlds), each being a standard database. A probability distribution can be assigned to the set of possible worlds. A detailed account of relational uncertain data models and their evolution, as well as related computa...

" A Causal Theory of Counterfactuals " (forthcoming in Nous) I develop an account of counterfactual conditionals using " causal models " , and argue that this account is preferable to the currently standard account in terms of " similarity of possible worlds " due to David Lewis and Robert Stalnaker. I diagnose the attraction of counterfactual theories of causation, and argue that it is illusory.

In these lectures I present a basic introduction to supersymmetry, especially to N = 1 supersymmetric gauge theories and their renormalization, in the Wess-Zumino gauge. I also discuss the various ways supersymmetry may be broken in order to account for the lack of exact supersymmetry in the actual world of elementary particles. On leave of absence from: Département de Physique Théorique – Univ...

This paper addresses fundamental issues on the nature of the concepts and structures of fuzzy logic, focusing, in particular, on the conceptual and functional differences that exist between probabilistic and possibilistic approaches. A semantic model provides the basic framework to define possibilistic structures and concepts by means of a function that quantifies proximity, closeness, or resem...

For the last 40 years, a geographic and mental space in the San Francisco Bay Area now known as Silicon Valley has been the birthplace of many of the largest and fastest growing electronics firms in the world and a number of new industrial sectors.' The technologies these firms commercialized have had a significant impact on many aspects of social and economic life. To facilitate the commercial...

In this paper I explore some connections between the epistemology of modality and 6 the epistemology of mathematics, and argue that they have far more in common than 7 it may initially seem to be the case—even though modality need not (in fact, should 8 not) be characterized in terms of possible worlds (as the modal realist insists) and 9 mathematics need not (in fact, should not) be understood...