Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

2001

California Polytechnic State University, San Luis Obispo

Software Engineering

Articles 1 - 7 of 7

Full-Text Articles in Entire DC Network

The Meaning Of An Information-Centric Computer Environment, Jens G. Pohl Jul 2001

The Meaning Of An Information-Centric Computer Environment, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

It is often lamented that we human beings are suffering from an information overload. This is a myth, as shown in Fig.1 there is no information overload. Instead we are suffering from a data overload. The confusion between data and information is not readily apparent and requires further explanation. Unorganized data are voluminous but of very little value. Over the past 15 years, industry and commerce have made significant efforts to rearrange this unorganized data into purposeful data, utilizing various kinds of database management systems. However, even in this organized form, we are still dealing with data and not information.


Information-Centric Decision-Support Systems: A Blueprint For ‘Interoperability’, Jens G. Pohl Jun 2001

Information-Centric Decision-Support Systems: A Blueprint For ‘Interoperability’, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

For the past 20 years the US military services have suffered under the limitations of stove-piped computer software applications that function as discrete entities within a fragmented data-processing environment. Lack of interoperability has been identified by numerous think tanks, advisory boards, and studies, as the primary information systems problem (e.g., Army Science Board 2000, Air Force SAB 2000 Command and Control Study, and NSB Network-Centric Naval Forces 2000). Yet, despite this level of attention, all attempts to achieve interoperability within the current data-centric information systems environment have proven to be expensive, unreliable, and generally unsuccessful.


Proceedings Of The 2001 Onr Decision-Support Workshop Series: Continuing The Revolution In Military Affairs, Collaborative Agent Design Research Center Jun 2001

Proceedings Of The 2001 Onr Decision-Support Workshop Series: Continuing The Revolution In Military Affairs, Collaborative Agent Design Research Center

Collaborative Agent Design (CAD) Research Center

In August of 1998 the Collaborative Agent Design Research Center (CADRC) of the California Polytechnic State University in San Luis Obispo (Cal Poly), approached the Office of Naval Research (ONR) with the proposal for an annual workshop focusing on emerging concepts in decision-support systems for military applications. The proposal was considered timely by the ONR Logistics Program Office for at least two reasons. First, rapid advances in information systems technology over the past decade had produced distributed, collaborative computer-assistance capabilities with profound potential for providing meaningful support to military decision makers. Indeed, some systems based on these new capabilities such …


Perspective Filters As A Means For Interoperability Among Information-Centric Decision-Support Systems, Kym J. Pohl, Jens G. Pohl Jun 2001

Perspective Filters As A Means For Interoperability Among Information-Centric Decision-Support Systems, Kym J. Pohl, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

No abstract provided.


Immaccs: A Multi-Agent Decision-Support System, Jens G. Pohl, Mark Porczak, Kym Jason Pohl, Russell Leighton, Hisham Assal, Alan Davis, Lakshmi Vempati, Anthony Wood Jun 2001

Immaccs: A Multi-Agent Decision-Support System, Jens G. Pohl, Mark Porczak, Kym Jason Pohl, Russell Leighton, Hisham Assal, Alan Davis, Lakshmi Vempati, Anthony Wood

Collaborative Agent Design (CAD) Research Center

This report describes work performed by the Collaborative Agent Design Research Center for the US Marine Corps Warfighting Laboratory (MCWL), on the IMMACCS experimental decision-support system. IMMACCS (Integrated Marine Multi-Agent Command and Control System) incorporates three fundamental concepts that distinguish it from existing (i.e., legacy) command and control applications. First, it is a collaborative system in which computer-based agents assist human operators by monitoring, analyzing, and reasoning about events in near real-time. Second, IMMACCS includes an ontological model of the battlespace that represents the behavioral characteristics and relationships among real world entities such as friendly and enemy assets, infrastructure objects …


Icdm: An Architecture And Toolkit In Support Of Agent-Based, Decision-Support Applications, Kym J. Pohl, Jens G. Pohl Mar 2001

Icdm: An Architecture And Toolkit In Support Of Agent-Based, Decision-Support Applications, Kym J. Pohl, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

Agent-based, decision-support systems provide human decision-makers with a means of solving complex problems through collaboration with heterogeneous collections of both human and computer-based expert agents. Over the past decade the Collaborative Agent Design (CAD) Research Center has developed several proof-of-concept and production-oriented agent-based, decision-support systems for both commercial and Department of Defense applications. These applications range in domain from engineering design to tactical command and control. While diverse in application, each of these systems is predicated on the same set of fundamental principles derived from years of experience in this area. Primary among these principles are the notions of high-level …


Transition From Data To Information, Jens G. Pohl Feb 2001

Transition From Data To Information, Jens G. Pohl

Collaborative Agent Design (CAD) Research Center

It is often lamented that we human beings are suffering from an information overload. This is a myth; as shown in Fig.1, there is no information overload. Instead, we are suffering from a data overload. The confusion between data and information is not readily apparent and requires further explanation. Unorganized data are voluminous but of very little value. Over the past 15 years, industry and commerce have made significant efforts to rearrange this unorganized data into purposeful data, utilizing various kinds of database management systems. However, even in this organized form, we are still dealing with data and not …