20,810 research outputs found
Shared Information -- New Insights and Problems in Decomposing Information in Complex Systems
How can the information that a set of random variables
contains about another random variable be decomposed? To what extent do
different subgroups provide the same, i.e. shared or redundant, information,
carry unique information or interact for the emergence of synergistic
information?
Recently Williams and Beer proposed such a decomposition based on natural
properties for shared information. While these properties fix the structure of
the decomposition, they do not uniquely specify the values of the different
terms. Therefore, we investigate additional properties such as strong symmetry
and left monotonicity. We find that strong symmetry is incompatible with the
properties proposed by Williams and Beer. Although left monotonicity is a very
natural property for an information measure it is not fulfilled by any of the
proposed measures.
We also study a geometric framework for information decompositions and ask
whether it is possible to represent shared information by a family of posterior
distributions.
Finally, we draw connections to the notions of shared knowledge and common
knowledge in game theory. While many people believe that independent variables
cannot share information, we show that in game theory independent agents can
have shared knowledge, but not common knowledge. We conclude that intuition and
heuristic arguments do not suffice when arguing about information.Comment: 20 page
Unique Information via Dependency Constraints
The partial information decomposition (PID) is perhaps the leading proposal
for resolving information shared between a set of sources and a target into
redundant, synergistic, and unique constituents. Unfortunately, the PID
framework has been hindered by a lack of a generally agreed-upon, multivariate
method of quantifying the constituents. Here, we take a step toward rectifying
this by developing a decomposition based on a new method that quantifies unique
information. We first develop a broadly applicable method---the dependency
decomposition---that delineates how statistical dependencies influence the
structure of a joint distribution. The dependency decomposition then allows us
to define a measure of the information about a target that can be uniquely
attributed to a particular source as the least amount which the source-target
statistical dependency can influence the information shared between the sources
and the target. The result is the first measure that satisfies the core axioms
of the PID framework while not satisfying the Blackwell relation, which depends
on a particular interpretation of how the variables are related. This makes a
key step forward to a practical PID.Comment: 15 pages, 7 figures, 2 tables, 3 appendices;
http://csc.ucdavis.edu/~cmg/compmech/pubs/idep.ht
Secret Sharing and Shared Information
Secret sharing is a cryptographic discipline in which the goal is to
distribute information about a secret over a set of participants in such a way
that only specific authorized combinations of participants together can
reconstruct the secret. Thus, secret sharing schemes are systems of variables
in which it is very clearly specified which subsets have information about the
secret. As such, they provide perfect model systems for information
decompositions. However, following this intuition too far leads to an
information decomposition with negative partial information terms, which are
difficult to interpret. One possible explanation is that the partial
information lattice proposed by Williams and Beer is incomplete and has to be
extended to incorporate terms corresponding to higher order redundancy. These
results put bounds on information decompositions that follow the partial
information framework, and they hint at where the partial information lattice
needs to be improved.Comment: 9 pages, 1 figure. The material was presented at a Workshop on
information decompositions at FIAS, Frankfurt, in 12/2016. The revision
includes changes in the definition of combinations of secret sharing schemes.
Section 3 and Appendix now discusses in how far existing measures satisfy the
proposed properties. The concluding section is considerably revise
Analysis and control of complex collaborative design systems
This paper presents a novel method for modelling the complexity of collaborative design systems based on its analysis and proposes a solution to reducing complexity and improving performance of such systems. The interaction and interfacing properties among many components of a complex design system are analysed from different viewpoints and then a complexity model for collaborative design is established accordingly. In order to simplify complexity and improve performance of collaborative design, a general solution of decomposing a whole system into sub-systems and using unified interface mechanism between them has been proposed. This proposed solution has been tested with a case study. It has been shown that the proposed solution is meaningful and practical
Authority in the Context of Distributed Knowledge
The notion of distributed knowledge is increasingly often invoked in discussions of economic organization. In particular, the claim that authority is inefficient as a means of coordination in the context of distributed knowledge has become widespread. However, very little analysis has been dedicated to the relation between economic organization and distributed knowledge. In this paper, we concentrate on the role of authority as a coordination mechanism under conditions of distributed knowledge, and also briefly discuss other issues of economic organization. We clarify the meanings of authority and distributed knowledge, and criticize the above claim by arguing that authority may be a superior mechanism of coordination under distributed knowledge. We also discuss how distributed knowledge influences the boundaries of firms. Our arguments rely on insights in problem-solving and on ideas from organizational economics.Distributed knowledge, existence of authority, problem-solving, the boundaries of the firm
Modularity in action.GNU/Linux and free/Open source sotfware development model unleashed.
Organizational and managerial theories of modularity applied to the design and production of complex artifacts are used to interpret the rise and success of Free/Open Source Software methodologies and practices in software engineeringmodularity; software project management; free/open source software; division of labor; coordination; information hiding
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