By Stefania Bandini, Sara Manzoni
This publication constitutes the refereed lawsuits of the ninth Congress of the Italian organization for synthetic Intelligence, AI*IA 2005, held in Milan, Italy in September 2005.
The forty six revised complete papers awarded including sixteen revised brief papers have been rigorously reviewed and chosen for inclusion within the publication. The papers are geared up in topical sections on both theoretical learn with effects and recommendations, advancements and consolidations, or on functions as there are structures and prototypes, case reviews and recommendations. inside this class the various major classical issues of AI are provided (agents, wisdom illustration, desktop studying, making plans, robotics, usual language, etc.), yet right here the focal point is at the skill of AI computational methods to stand demanding difficulties and to suggest cutting edge options.
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We will refer to this issue as “frame definability”. – Secondly, Hybrid Logic allows us to fully exploit frame definability for reasoning purposes. In fact, consider that the tableau rules given by Blackburn provide a sound and complete calculus for Hybrid Logic in this sense: a formula ϕ is tableau provable iff it is valid, that is, iff it is true in every frame. This seems to be not very helpful when, as in our case, we are interested in reasoning in specific frame classes. Nevertheless, it has been proved that it is sufficient to add a set of pure formulas defining the desired frame to the tableaux to obtain a sound and complete calculus with respect to that frame.
Classes of relations have been grouped according to their formal properties, so that it will be sufficient to show how the properties characterizing orientation, containment and proximity relations can be defined by means of pure hybrid formulas. , again in ). Instead, some problems arise when we want to define the top element of the orientation relations. The top element has the following properties: there is one and only one topn element for every orientation relation Rno and every node is referred to it, with the exception of itself (the relation is irreflexive).
The study of relations between structure and local search behavior is still a partially unexplored area. First of all, in this work we have just considered one of the possible ways of characterizing structure. Other definitions for graphs are possible (such as weighted graphs), to capture different problem features and to extend our results to problems other than SAT. Moreover, concerning local search algorithms, we believe that the core issue to explain the algorithm behavior is the investigation of the relations between problem structure and search landscape, and, in turn, search landscape and the actual strategy used to explore it.
AI*IA 2005: Advances in Artificial Intelligence: 9th Congress of the Italian Association for Artificial Intelligence Milan, Italy, September 21-23, by Stefania Bandini, Sara Manzoni