Title
Computing Distributed Knowledge as the Greatest Lower Bound of Knowledge
Abstract
Let L be a distributive lattice and E(L) be the set of join endomorphisms of L. We consider the problem of finding f Pi(E(L)) g given L and f, g is an element of E(L) as inputs. (1) We show that it can be solved in time O(n) where n = vertical bar L vertical bar. The previous upper bound was O(n(2)). (2) We characterize the standard notion of distributed knowledge of a group as the greatest lower bound of the join-endomorphisms representing the knowledge of each member of the group. (3) We show that deciding whether an agent has the distributed knowledge of two other agents can be computed in time O(n(2)) where n is the size of the underlying set of states. (4) For the special case of S5 knowledge, we show that it can be decided in time O(n alpha(n)) where alpha(n) is the inverse of the Ackermann function.
Year
DOI
Venue
2021
10.1007/978-3-030-88701-8_25
RELATIONAL AND ALGEBRAIC METHODS IN COMPUTER SCIENCE (RAMICS 2021)
Keywords
DocType
Volume
Distributive knowledge, Join-endomorphims, Lattice algorithms
Conference
13027
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Carlos Pinzón100.34
Santiago Quintero201.69
Sergio Ramírez301.69
Frank Valencia400.34