Network-centric Warfare - Contradictory Views

Contradictory Views

"Our incipient NCW plans may suffer defeat by using primitive but cagey techniques, inspired by an ideology we can neither match nor understand; or by an enemy who can knock out our vulnerable Global Positioning System or use electromagnetic pulse weapons on a limited scale, removing intelligence as we have construed it and have come to depend upon. Fighting forces accustomed to relying upon downlinks for information and commands would have little to fall back upon." —Charles Perrow, Information Assurance, National Defense University, May 2003

The aspiration of the Australian Defence Force (ADF) to embrace network-centric warfare is outlined in the document ADF Force 2020. This vision has been criticized by Aldo Borgu, director of the Australian Strategic Policy Institute (ASPI). By developing interoperability with U.S. systems, in his view, the three arms of the Australian Defence Force could end up operating better with their sister United States services than with each other.

Network centric warfare is criticized by proponents of Fourth Generation Warfare (4GW) doctrine.

Also, since Network-centric warfare focuses so much on distributing information, one has to be wary of the effect of false, misleading, or misinterpreted information entering the system, be it through enemy deception or simple error. Just as the usefulness of correct information can be amplified, so too can the repercussions of incorrect data entering the system achieve much greater non-positive outcomes.

One way that this can happen is through errors in initial conditions in an uncorrected, closed system that subsequently skew result-sets; the result-sets are then reused, amplifying the initial error by orders of magnitude in subsequent generations of result-sets; see chaos theory.

Other possible failure modes or problem areas in network-centric warfare include the occurrence of the Byzantine generals' problem in peer-to-peer systems; problems caused by an inadequate or a shallow understanding of (or general disregard for) self-regulation, self-organization, systems theory, emergent behavior and cybernetics; in addition to this, there are potential issues arising from the very nature of any complex, rapidly-developed artificial system arising from complexity theory, which implies the possibility of failure modes such as congestion collapse or cascading failure.