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AGH University of Science and Technology
AI's War on Manipulation: Are We Winning?
Faliszewski, Piotr (AGH University of Science and Technology) | Procaccia, Ariel D. (Harvard University)
AI's War on Manipulation: Are We Winning?
Faliszewski, Piotr (AGH University of Science and Technology) | Procaccia, Ariel D. (Harvard University)
We provide an overview of more than two decades of work, mostly in AI, that studies computational complexity as a barrier against manipulation in elections. We provide an overview of more than two decades of work, mostly in AI, that studies computational complexity as a barrier against manipulation in elections.
AI’s War on Manipulation: Are We Winning?
Faliszewski, Piotr (AGH University of Science and Technology) | Procaccia, Ariel D. (Harvard University)
Knowledge Representation for Intelligent and Error-Prone Execution of Robust Granular Plans. A Conceptual Study
Ernst, Sebastian (AGH University of Science and Technology) | Ligeza, Antoni (AGH University of Science and Technology)
Route robustness is therefore a Vehicle route planning is a popular application of AI automated measure against the risk that the solution may not be executed planning methods. In numerous applications it is according to the a priori plan. The main idea behind supported with GPS navigation. Based on a generalized the concept of a robust plan is that such a plan should consist shortest-path approach it uses a directed graph as the search of numerous alternative plans, represented in a concise way, domain and edge weights set to match the required optimality and enable switching from the plan currently being executed criteria. Moreover, various additional constraints and to a new one as often as may become necessary. The degree heuristic information can be explored. (Nau, Ghallab, and of robustness is a qualitative factor referring to numerous Traverso 2004)