Johan Van Benthem on Logic and Information Dynamics by Alexandru Baltag, Sonja Smets

By Alexandru Baltag, Sonja Smets

This booklet illustrates this system of Logical-Informational Dynamics. Rational brokers make the most the knowledge on hand on the planet in soft methods, undertake quite a lot of epistemic attitudes, and in that approach, continually swap the area itself. Logical-Informational Dynamics is ready logical structures placing such actions at heart degree, targeting the occasions through which we gather info and alter attitudes. Its contributions convey many present logics of data and alter at paintings, frequently in multi-agent settings the place social habit is key, and sometimes stressing Johan van Benthem's pioneering paintings in setting up this software. although, this isn't a Festschrift, yet a wealthy tapestry for a box with a wealth of strands of its personal. The reader will see the state-of-the-art in such subject matters as details replace, trust switch, choice, studying over the years, and strategic interplay in video games. in addition, no tight boundary has been enforced, and a few chapters upload extra basic mathematical or philosophical foundations or hyperlinks to present traits in desktop science.

The topic of this publication lies on the interface of many disciplines. common sense is the most technique, however the quite a few chapters move simply among arithmetic, laptop technology, philosophy, linguistics, cognitive and social sciences, whereas additionally starting from natural concept to empirical paintings. consequently, the authors of this e-book symbolize a large choice of unique thinkers from diversified examine groups. And their interconnected issues problem while how we expect of good judgment, philosophy and computation.

Thus, a great deal according to van Benthem's paintings over many a long time, the quantity exhibits how most of these disciplines shape a average cohesion within the point of view of dynamic logicians (broadly conceived) exploring their new subject matters this present day. And whilst, in doing so, it deals a broader notion of common sense with a undeniable grandeur, relocating its horizons past the conventional learn of end result relatives.

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E. the strongest question that she can answer if she learns the answers to all her questions). The authors formalize the complete dynamic logic of these interrogative actions, then move on to the multi-agent case. They extend DEL event models with ‘‘issues’’ (about the current event), similarly to the way they extended epistemic models to issue models, and they introduce an interrogative version of the usual DEL product update. D. thesis [173], written under van Benthem’s supervision, one can find a complete DEL-style logic for interrogative product update, as well as applications to more sophisticated scenarios (such as informative questions, whose preconditions give new information to the listener).

But also socially-produced agents, such cultural icons, literary characters, memes, role models, imaginary being, mythical heroes and gods) is a great challenge both for philosophy and for logical dynamics. To paraphrase Shakespeare, there are more things to agency in heaven and earth, than are dreamt of in any individual agent’s mind. 2 On the Trails of Logical Dynamics The Invited Contributions on Dynamic Agency In their fascinating discussion of agency in Artificial Intelligence, Peter Millican and Michael Wooldridge address a central question: what is an agent?

Recently, this line of investigation has led to a general conception of knowledge as a ‘‘dynamic-doxastic equilibrium’’, conception developed in van Benthem’s forthcoming book [114]. The idea is that various types of ‘‘acceptance’’ (belief, strong belief, safe belief, various forms of knowledge) are characterized in terms of being invariant to different types of dynamics: they are ‘‘fixed points’’ of specific types of informational events. ), the book calls for a change of focus (from the ‘‘static’’ concepts of knowledge or acceptance) to the notion of epistemic interaction, as a self-correcting, self-testing, evidence-gathering, truthseeking, reality-oriented, socially-involved process of iterated belief revision.

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