This evaluation version of Causeway includes an operational copy
of Version 2.1 with saving and exporting disabled. To enable these features,
users require installation of HASP software, which is available for download at
http://www.aladdin.com/support/hasp/enduser.asp.
Please click here for download
instructions to begin installing this evaluation version of Causeway
onto your machine.
Please click here to
download a copy of the release notes for this version, which is provided in PDF format.
This tutorial of SIAM includes computer-based
training of the terminology and animation of the mechanics of
SIAM's stand-alone capabilities. Upon download of
this file, simply click on the package icon to begin the tutorial. The
table of contents provided with this tutorial will allow you to start at
the beginning of the curriculum, or focus on a specific lesson of interest.
Please click here to download
this SIAM tutorial onto your machine.
These documents are the complete guide for end-users of SAIC's INET
applications (version 5.0). They are quite extensive and as such may take
some time to download.
Please click here to
download the SIAM (version 5.0) User Manual.
Please click here to
download the Causeway (version 5.0) User Manual.
SAIC also provides several documents available for download to help you
understand and/or evaluate SAIC's software and other services that we
provide. Clicking on each of the titles below will begin downloading the respective
title. Each document is saved in .PDF format.
Known as our "White Paper," this paper details the approach to
investigating the human decision cycle. Of particular interest for this
paper is the decision cycle employed by individuals and organizations
during crisis and potential conflict. The collaborative approach described here is
especially beneficial in today’s world of rapidly evolving, global situations within
which security policies and operational plans are generated. The need for collaborative
investigation processes such as the authors’ innovative approach, called
Influence Net modeling, is discussed. To illustrate the concepts
and "mechanics" of the collaborative process, examples are taken
from an automated system, called SIAM, which was developed to assist
Influence Net modeling.
Known as our "Math Paper," this paper continues detailing an approach
to investigating the human decision cycle, particularly that employed by
individuals and organizations during crisis, is presented. The collaborative
approach described here is especially beneficial in today’s world of
rapidly evolving, global situations within which U.S. security policies and
operational plans are generated. This paper continues the documentation of
research in the field of Influence Net modeling. Specifically, we
address the capabilities required of an automated system to encourage and
facilitate the collaboration, both real-time and evolutionary, of decision
makers and their supporting experts. We present our research results that extend
traditional Bayesian inference net structure to allow for interactive use by modelers
unfamiliar with probability theory or who are unwilling to spend the excessive time
required to specify the traditional Bayesian model. The results of this research, called
Causal Strengths (CAST) Logic, have been implemented as software applications by the
authors and their colleagues.
This paper describes our solution to this issue of vital national
interest—the FOCUS application.
(FOCUS is a set of interdependent technologies that support
collaboration by crisis Team members and the presentation of their
results to the ultimate user—the decision maker). We illustrate
why our approach was selected for DARPA’s Project Genoa and its
ease of integration with DARPA’s proposed JTFRA-compatible
CrisisNet, by employing a sample crisis scenario, based on a recent workshop
hosted by members of the proposed FOCUS team.
This paper was presented at the 66th Military Operations Research Society
Symposium, 23-25 June, 1998. In earlier writings, the authors introduced
an approach to investigating the human decision cycle, which we call
Influence Net modeling. More recently this modeling process has been employed in the
strategic planning of a variety of situations, as well as the original intention of
documenting the rationale of domain experts and analysts for training of future
decision-makers. With the increased acceptance of this modeling approach from both the
strategic and crisis planning communities, participants in the modeling process no longer
can be expected to reside at the same location; nor do they have the luxury of researching
their work "off-line" and then presenting their polished, finished product. This
paper continues the documentation of our research in the field of Influence Net modeling.
Specifically, we will address the capabilities required of an automated system to
encourage and facilitate the distributed collaboration, both real-time and evolutionary,
of decision makers and their supporting experts. Software implementations with the
potential to fulfill these requirements are proposed, and uses for advanced modeling
techniques are identified.
This paper was published in the December 2000 special issue of the MORS
Phalanx journal. It presents an overview of the structured approach
afforded through collaborative Influence Net modeling, with particular
emphasis on the difficult characteristics of Information Operations planning.
An example illustrating how the modeling process implemented through our
decision support software tool, SIAM, facilitates IO planning is provided.
