By Mario Alviano, Carmine Dodaro, Francesco Ricca (auth.), Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio (eds.)
This e-book constitutes the refereed court cases of the thirteenth foreign convention of the Italian organization for synthetic Intelligence, AI*IA 2013, held in Turin, Italy, in December 2013. The forty five revised complete papers have been conscientiously reviewed and chosen from 86 submissions. The convention covers extensively the various features of theoretical and utilized man made Intelligence as follows: wisdom illustration and reasoning, desktop studying, common language processing, making plans, disbursed AI: robotics and MAS, recommender structures and semantic net and AI applications.
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Additional info for AI*IA 2013: Advances in Artificial Intelligence: XIIIth International Conference of the Italian Association for Artificial Intelligence, Turin, Italy, December 4-6, 2013. Proceedings
Due to a perceived conflict)? Of goal “suspensions” (waiting for re-activation) or complete abandon? Of the evaluation of our skills, competence, know-how and possible plans (different from “planning”); or our selfconfidence? Of the evaluation of the external conditions for a successful execution of the intended action? And so on. The path of goals in our mind, from their triggering to their active pursuit (the execution of the identified instrumental act), is rather complex, with several “phases” and outcomes.
10 To summarize the point (for extended discussion, see ), consider in Figure 1 the role of different types of beliefs in filtering the goals and in regulating their transition step by step, from their activation to the formulation of an intention to execute the specified action. For example, the beliefs about the fact that the goal is not already realized or will not be realized by other agents, or the belief that the goal is not impossible. In this case the realization of the goal is up to the subject; she has to find ways to achieve it.
This equation is 34 G. Cicala, M. Oreggia, and A. Tacchella (i) (ii) (iii) Fig. 4. Rules model for HVAC monitoring: (i) overall rules model (a block diagram), (ii) fault checking actor (a finite state machine). (iii) ideal house actor (a modal model whose refinement block diagrams are subject to a continuous director). , faults. implemented by the block diagram shown Figure 4 (iii), where Kw corresponds to the variable heatSource. , an hybrid automaton, whose switching behavior is not autonomous, but it is controlled by the signal idealState which in turn uses the on/off signal acquired from the real house apparatus.