Merging Information Under Constraints: A Logical Framework

By S. Konieczny, R. Pérez. Journal of Logic and Computation, 2002

452 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/97638512bed68bde9aec98a0279ffd25bd77c17c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Angelika Kimmig
2. Luc De Raedt
3. Clemens Puppe
4. Christian List
5. Vincent Conitzer
6. Vaishak Belle
7. Philippe Mongin
8. Sebastijan Dumancic

In Economics and Econometrics

1. Clemens Puppe
2. Christian List
3. Ariel D. Procaccia
4. Vincent Conitzer
5. Philippe Mongin
6. David F. Manlove

In Management Science and Operations Research

1. Luc De Raedt
2. Angelika Kimmig
3. Christian List
4. Felix Brandt
5. Ariel D. Procaccia
6. Vincent Conitzer
7. Clemens Puppe
8. David F. Manlove

Citations in the corpus

• Judgment aggregation: A survey (2009, methodology): “Judgment aggregation is also related to the theory of belief merging in computer science ( Konieczny and Pino-Perez 2002 ).”
• Handbook of Computational Social Choice (2016, methodology): “The latter is possible using distance-based procedures (Konieczny and Pino P´erez, 2002), which are also briefly discussed in Chapter 9 (Lang and Xia, 2016).”
• Dynamic Epistemic Logic (2007, unknown): “, belief merging [46].”
• ProbLog: A Probabilistic Prolog and its Application in Link Discovery (2007, background): “Note that for a star graph and C one obtains majority merging as in [Konieczny and Pino Pérez, 2002].”