Briefly and in the most general terms possible, I suggest that the long-term effect of dominant firepower will be threefold. It will disperse mass in the form of a “net” of small detachments with the dual role of calling down fire and of local quasi-guerrilla action. Because of its low density, the elements of this net will be everywhere and will thus need only the mobility of the boot. It will transfer mass, structurally from the combat arms to the artillery, and in deployment from the direct fire zone (as we now understand it) to the formation and protection of mobile fire bases capable of movement at heavy-track tempo (Chapter 9). Thus the third effect will be to polarise mobility, for the manoeuvre force still required is likely to be based on the rotor. This line of thought is borne out by recent trends in Soviet thinking on the offensive. The concept of an operational manoeuvre group (OMG) which hives off raid forces against C3 and indirect fire resources is giving way to more fluid and discontinuous manoeuvre by task forces (“air-ground assault groups” found by “shock divisions”) directed onto fire bases—again of course with an operational helicopter force superimposed. [Simpkin, Race To The Swift, p. 169]
It seems to me that in the mid-1980s, Simpkin accurately predicted the emergence of modern anti-access/area denial (A2/AD) defensive systems with reasonable accuracy, as well the evolving thinking on the part of the U.S. military as to how to operate against them.
Simpkin’s vision of task forces (more closely resembling Russian/Soviet OMGs than rotary wing “air-ground assault groups” operational forces, however) employing “fluid and discontinuous manoeuvre” at operational depths to attack long-range precision firebases appears similar to emerging Army thinking about future multidomain operations. (It’s likely that Douglas MacGregor’s Reconnaissance Strike Group concept more closely fits that bill.)
One thing he missed on was his belief that rotary wing helicopter combat forces would supplant armored forces as the primary deep operations combat arm. However, there is the potential possibility that drone swarms might conceivably take the place in Simpkin’s operational construct that he allotted to heliborne forces. Drones have two primary advantages over manned helicopters: they are far cheaper and they are far less vulnerable to enemy fires. With their unique capacity to blend mass and fires, drones could conceivably form the deep strike operational hammer that Simpkin saw rotary wing forces providing.
Just as interesting was Simpkin’s anticipation of the growing importance of information and electronic warfare in these environments. More on that later.
With the emergence of the importance of cross-domain fires in the U.S. effort to craft a joint doctrine for multi-domain operations, there is an old military concept to which developers should give greater consideration: interchangeability of fire.
This principle continues to shape contemporary Russian military doctrine and practice, which is, in turn, influencing U.S. thinking about multi-domain operations. In fact, the idea is not new to Western military thinking at all. Maneuver warfare advocates adopted the concept in the 1980s, but it never found its way into official U.S. military doctrine.
Second, the rapid acceptance and adoption of the idea of cross-domain fires has carried along with it an implicit acceptance of the interchangeability of the effects of kinetic and non-kinetic (i.e. information, electronic, and cyber) fires. This alone is already forcing U.S. joint military thinking to integrate effects into planning and decision-making.
The key component of interchangability is effects. Inherent in it is acceptance of the idea that combat forces have effects on the battlefield that go beyond mere physical lethality, i.e. the impact of fire or shock on a target. U.S. Army doctrine recognizes three effects of fires: destruction, neutralization, and suppression. Russian and maneuver warfare theorists hold that these same effects can be achieved through the effects of operational maneuver. The notion of interchangeability offers a very useful way of thinking about how to effectively integrate the lethality of mass and fires on future battlefields.
But Wait, Isn’t Effects Is A Four-Letter Word?
There is a big impediment to incorporating interchangeability into U.S. military thinking, however, and that is the decidedly ambivalent attitude of the U.S. land warfare services toward thinking about non-tangible effects in warfare.
In the wake of the 1990-91 Gulf War and the ensuing “Revolution in Military Affairs,” the U.S. Air Force led the way forward in thinking about the effects of lethality on the battlefield and how it should be leveraged to achieve strategic ends. It was the motivating service behind the development of a doctrine of “effects based operations” or EBO in the early 2000s.
Scharre agreed that robotic drones are indeed vulnerable to such countermeasures, but made this point in response:
I think this is 100% correct! The genius of robotic vehicles is that they don't have to be survivable. They can be built cheaply and expendable, overwhelming the adversary with mass. 5/
He then went to contend that robotic swarms offer the potential to reestablish the role of mass in future combat. Mass, either in terms of numbers of combatants or volume of firepower, has played a decisive role in most wars. As the aphorism goes, usually credited to Josef Stalin, “mass has a quality all of its own.”
Numbers matter. For an adversary willing to treat individual units as expendable, swarming is a very appealing tactic. 9/
Overwhelming the enemy through sheer mass has been an effective military tactic throughout the ages. In fact, that's precisely how the Allies won World War II, by overwhelming the Axis through an onslaught of iron. 10/
As Paul Kennedy wrote, "No matter how cleverly the Wehrmacht mounted its tactical counterattacks … it was to be ultimately overwhelmed by the sheer mass of Allied firepower." 12/
Scharre observed that the United States went in a different direction in its post-World War II approach to warfare, adopting instead “offset” strategies that sought to leverage superior technology to balance against the mass militaries of the Communist bloc.
During the Cold War, the United States adopted an "offset strategy" to counter Soviet numerical superiority with qualitatively superior technology — first nuclear weapons then information-age precision-guided weapons. 13/
While effective during the Cold War, Scharre concurs with the arguments that offset strategies are becoming far too expensive and may ultimately become self-defeating.
The logical conclusion of that strategy is the current death spiral of the U.S. military — rising platform costs and shrinking quantities leading to qualitatively superior weapons but in insufficient quantities to deliver operational results. 14/
And it's not about the budget. More money won't save the U.S. from this trap. From 2001-2008 the base (non-war) budgets of the Navy and Air Force grew by 22% and 27% respectively in real dollars. # of assets declined by 10% for ships and nearly 20% for aircraft. 16/
In order to avoid this fate, Scharre contends that
The United States needs to change the way it produces combat power, focusing on the most cost-effective way to accomplish its operational goals rather than building next-gen "X" programs at any price. 17/
Robots might very well change that equation. Whether autonomous or “human in the loop,” robotic swarms do not feel fear and are inherently expendable. Cheaply produced robots might very well provide sufficient augmentation to human combat units to restore the primacy of mass in future warfare.
“If we maintain our faith in God, love of freedom, and superior global airpower, the future [of the US] looks good.” — U.S. Air Force General Curtis E. LeMay (Commander, U.S. Strategic Command, 1948-1957)
Curtis LeMay was involved in the formation of RAND Corporation after World War II. RAND created several models to measure the dynamics of the US-China military balance over time. Since 1996, this has been computed for two scenarios, differing by range from mainland China: one over Taiwan and the other over the Spratly Islands. The results of the model results for selected years can be seen in the graphic below.
The capabilities listed in the RAND study are interesting, notable in that the air superiority category, rough parity exists as of 2017. Also, the ability to attack air bases has given an advantage to the Chinese forces.
Investigating the methodology used does not yield any precise quantitative modeling examples, as would be expected in a rigorous academic effort, although there is some mention of statistics, simulation and historical examples.
The analysis presented here necessarily simplifies a great number of conflict characteristics. The emphasis throughout is on developing and assessing metrics in each area that provide a sense of the level of difficulty faced by each side in achieving its objectives. Apart from practical limitations, selectivity is driven largely by the desire to make the work transparent and replicable. Moreover, given the complexities and uncertainties in modern warfare, one could make the case that it is better to capture a handful of important dynamics than to present the illusion of comprehensiveness and precision. All that said, the analysis is grounded in recognized conclusions from a variety of historical sources on modern warfare, from the air war over Korea and Vietnam to the naval conflict in the Falklands and SAM hunting in Kosovo and Iraq. [Emphasis added].
We coded most of the scorecards (nine out of ten) using a five-color stoplight scheme to denote major or minor U.S. advantage, a competitive situation, or major or minor Chinese advantage. Advantage, in this case, means that one side is able to achieve its primary objectives in an operationally relevant time frame while the other side would have trouble in doing so. [Footnote] For example, even if the U.S. military could clear the skies of Chinese escort fighters with minimal friendly losses, the air superiority scorecard could be coded as “Chinese advantage” if the United States cannot prevail while the invasion hangs in the balance. If U.S. forces cannot move on to focus on destroying attacking strike and bomber aircraft, they cannot contribute to the larger mission of protecting Taiwan.
All of the dynamic modeling methodology (which involved a mix of statistical analysis, Monte Carlo simulation, and modified Lanchester equations) is publicly available and widely used by specialists at U.S. and foreign civilian and military universities.” [Emphasis added].
As TDI has contended before, the problem with using Lanchester’s equations is that, despite numerous efforts, no one has been able to demonstrate that they accurately represent real-world combat. So, even with statistics and simulation, how good are the results if they have relied on factors or force ratios with no relation to actual combat?
What about new capabilities?
As previously posted, the Kratos Mako Unmanned Combat Aerial Vehicle (UCAV), marketed as the “unmanned wingman,” has recently been cleared for export by the U.S. State Department. This vehicle is specifically oriented towards air-to-air combat, is stated to have unparalleled maneuverability, as it need not abide by limits imposed by human physiology. The Mako “offers fighter-like performance and is designed to function as a wingman to manned aircraft, as a force multiplier in contested airspace, or to be deployed independently or in groups of UASs. It is capable of carrying both weapons and sensor systems.” In addition, the Mako has the capability to be launched independently of a runway, as illustrated below. The price for these vehicles is three million each, dropping to two million each for an order of at least 100 units. Assuming a cost of $95 million for an F-35A, we can imagine a hypothetical combat scenario pitting two F-35As up against 100 of these Mako UCAVs in a drone swarm; a great example of the famous phrase, quantity has a quality all its own.
How to evaluate the effects of these possible UCAV drone swarms?
In building up towards the analysis of all of these capabilities in the full theater, campaign level conflict, some supplemental wargaming may be useful. One game that takes a good shot at modeling these dynamics is Asian Fleet. This is a part of the venerable Fleet Series, published by Victory Games, designed by Joseph Balkoski to model modern (that is Cold War) naval combat. This game system has been extended in recent years, originally by Command Magazine Japan, and then later by Technical Term Gaming Company.
My previous post outlined the potential advantages and limitations of current and future drone technology. The real utility of drones in future warfare may lie in a tactic that is both quite old and new, swarming. “‘This [drone swarm concept] goes all the way back to the tactics of Attila the Hun,’ says Randall Steeb, senior engineer at the Rand Corporation in the US. ‘A light attack force that can defeat more powerful and sophisticated opponents. They come out of nowhere, attack from all sides and then disappear, over and over.'”
In order to be effective, Mr. Steeb’s concept would require drones to be able to speed away from their adversary, or be able to hide. The Huns are described “as preferring to defeat their enemies by deceit, surprise attacks, and cutting off supplies. The Huns brought large numbers of horses to use as replacements and to give the impression of a larger army on campaign.” Also, prior to problems caused to the Roman Empire by the Huns under Attila (~400 CE), another group of people, the Scythians, used similar tactics much earlier, as mentioned by Herodotus, (~800 BCE). “With great mobility, the Scythians could absorb the attacks of more cumbersome foot soldiers and cavalry, just retreating into the steppes. Such tactics wore down their enemies, making them easier to defeat.” These tactics were also used by the Parthians, resulted in the Roman defeat under Crassis at the Battle of Carrahe, 53 BCE. Clearly, maneuver is as old as warfare itself.
Today, fighter pilots approach warfare like a questing medieval knight. They search for opponents with similar capabilities and defeat them by using technologically superior equipment or better application of individual tactics and techniques. For decades, leading air forces nurtured this dynamic by developing expensive, manned air superiority fighters. This will all soon change. Advances in unmanned combat aerial vehicles (UCAVs) will turn fighter pilots from noble combatants to small-unit leaders and drive the development of new aerial combined arms tactics.
Peter Singer, an expert on future warfare at the New America think-tank, is in no doubt. ‘What we have is a series of technologies that change the game. They’re not science fiction. They raise new questions. What’s possible? What’s proper?’ Mr. Singer is talking about artificial intelligence, machine learning, robotics and big-data analytics. Together they will produce systems and weapons with varying degrees of autonomy, from being able to work under human supervision to ‘thinking’ for themselves. The most decisive factor on the battlefield of the future may be the quality of each side’s algorithms. Combat may speed up so much that humans can no longer keep up. Frank Hoffman, a fellow of the National Defense University who coined the term ‘hybrid warfare’, believes that these new technologies have the potential not just to change the character of war but even possibly its supposedly immutable nature as a contest of wills. For the first time, the human factors that have defined success in war, ‘will, fear, decision-making and even the human spark of genius, may be less evident,’ he says.” (emphasis added).
Drones are highly capable, and with increasing autonomy, they themselves may be immune to fear. Technology has been progressing step by step to alter the character of war. Think of the Roman soldier and his personal experience in warfare up close vs. the modern sniper. They each have a different experience in warfare, and fear manifests itself in different ways. Unless we create and deploy full autonomous systems, with no human in or on the loop, there will be an opportunity for fear and confusion by the human mind to creep into martial matters. An indeed, with so much new technology, friction of some sort is almost assured.
I’m not alone in this assessment. Secretary of Defense James Mattis has said “You go all the way back to Thucydides who wrote the first history and it was of a war and he said it’s fear and honor and interest and those continue to this day. The fundamental nature of war is unchanging. War is a human social phenomenon.”
Aerial combat over the past two decades, though relatively rare, continues to demonstrate the importance of superior SA. The building blocks, however, of superior SA, information acquisition and information denial, seem to be increasingly associated with sensors, signature reduction, and networks. Looking forward, these changes have greatly increased the proportion of BVR [Beyond Visual Range] engagements and likely reduced the utility of traditional fighter aircraft attributes, such as speed and maneuverability, in aerial combat. At the same time, they seem to have increased the importance of other attributes.
[I]t is important to acknowledge that all of the foregoing discussion is based on certain assumptions plus analysis of past trends, and the future of aerial combat might continue to belong to fast, agile aircraft. The alternative vision of future aerial combat presented in Chapter 5 relies heavily on robust LoS [Line of Sight] data links to enable widely distributed aircraft to efficiently share information and act in concert to achieve superior SA and combat effectiveness. Should the links be degraded or denied, the concept put forward here would be difficult or impossible to implement.
Therefore, in the near term, one of the most important capabilities to enable is a secure battle network. This will be required for remotely piloted and autonomous system alike, and this will be the foundation of information dominance – the acquisition of information for use by friendly forces, and the denial of information to an adversary.
In the recently issued 2018 National Defense Strategy, the United States acknowledged that “long-term strategic competitions with China and Russia are the principal priorities for the Department [of Defense], and require both increased and sustained investment, because of the magnitude of the threats they pose to U.S. security and prosperity today, and the potential for those threats to increase in the future.”
The strategy statement lists technologies that will be focused upon:
The drive to develop new technologies is relentless, expanding to more actors with lower barriers of entry, and moving at accelerating speed. New technologies include advanced computing, “big data” analytics, artificial intelligence, autonomy, robotics, directed energy, hypersonics, and biotechnology— the very technologies that ensure we will be able to fight and win the wars of the future… The Department will invest broadly in military application of autonomy, artificial intelligence, and machine learning, including rapid application of commercial breakthroughs, to gain competitive military advantages.” (emphasis added).
Autonomy, robotics, artificial intelligence and machine learning…these are all related to the concept of “drone swarms.” TDI has reported previously on the idea of drone swarms on land. There is indeed promise in many domains of warfare for such technology. In testimony to the Senate Armed Services Committee on the future of warfare, Mr Bryan Clark of the Center for Strategic and Budgetary Assessments argued that “America should apply new technologies to four main areas of warfare: undersea, strike, air and electromagnetic.”
Drones have certainly transformed the way that the U.S. wages war from the air. The Central Intelligence Agency (CIA) innovated, deployed and fired weapons from drones first against the Taliban in Afghanistan, less than one month after the 9/11 attacks against the U.S. homeland. Most drones today are airborne, partly because it is generally easier to navigate in the air than it is on the land, due to fewer obstacles and more uniform and predictable terrain. The same is largely true of the oceans, at least the blue water parts.
Aerial Drones and Artificial Intelligence
It is important to note that the drones in active use today by the U.S. military are actually remotely piloted Unmanned Aerial Vehicles (UAVs). With the ability to fire missiles since 2001, one could argue that these crossed the threshold into Unmanned Combat Aerial Vehicles (UCAVs), but nonetheless, they have a pilot—typically a U.S. Air Force (USAF) member, who would very much like to be flying an F-16, rather than sitting in a shipping container in the desert somewhere safe, piloting a UAV in a distant theater of war.
A distinction needs to be made between “narrow” AI, which allows a machine to carry out a specific task much better than a human could, and “general” AI, which has far broader applications. Narrow AI is already in wide use for civilian tasks such as search and translation, spam filters, autonomous vehicles, high-frequency stock trading and chess-playing computers… General AI may still be at least 20 years off. A general AI machine should be able to carry out almost any intellectual task that a human is capable of.” (emphasis added)
Thus, it is reasonable to assume that the U.S. military (or others) will not field a fully automated drone, capable of prosecuting a battle without human assistance, until roughly 2038. This means that in the meantime, a human will be somewhere “in” or “on” the loop, making at least some of the decisions, especially those involving deadly force.
Future Aerial Drone Roles and Missions
The CIA’s initial generation of UAVs was armed in an ad-hoc fashion; further innovation was spurred by the drive to seek out and destroy the 9/11 perpetrators. These early vehicles were designed for intelligence, reconnaissance, and surveillance (ISR) missions. In this role, drones have some big advantages over manned aircraft, including the ability to loiter for long periods. They are not quick, not very maneuverable, and as such are suited to operations in permissive airspace.
The development of UCAVs has allowed their integration into strike (air-to-ground) and air superiority (air-to-air) missions in contested airspace. UCAV strike missions could target and destroy land and sea nodes in command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) networks in an attempt to establish “information dominance.” They might also be targeted against assets like surface to air missiles and radars, part of an adversary anti-access/area denial (A2/AD) capability.
Given the sophistication of Russian and Chinese A2/AD networks and air forces, some focus should be placed upon developing more capable and advanced drones required to defeat these challenges. One example comes from Kratos, a drone maker, and reported on in Popular Science.
The Mako drone pictured above has much higher performance than some other visions of future drone swarms, which look more like paper airplanes. Given their size and numbers, they might be difficult to shoot down entirely, and this might be able to operate reasonably well within contested airspace. But, they’re not well suited for air-to-air combat, as they will not have the weapons or the speed necessary to engage with current manned aircraft in use with potential enemy air forces. Left unchecked, an adversary’s current fighters and bombers could easily avoid these types of drones and prosecute their own attacks on vital systems, installations and facilities.
The real utility of drones may lie in the unique tactic for which they are suited, swarming. More on that in my next post.
For a while now, military pundits have speculated about the role robotic drones and swarm tactics will play in future warfare. U.S. Army Captain Jules Hurst recently took a first crack at adapting drones and swarms into existing doctrine in an article in Joint Forces Quarterly. In order to move beyond the abstract, Hurst looked at how drone swarms “should be inserted into the tactical concepts of today—chiefly, the five forms of offensive maneuver recognized under Army doctrine.”
Hurst pointed out that while drone design currently remains in flux, “for assessment purposes, future swarm combatants will likely be severable into two broad categories: fire support swarms and maneuver swarms.”
In Hurst’s reckoning, the chief advantage of fire support swarms would be their capacity for overwhelming current air defense systems to deliver either human-targeted or semi-autonomous precision fires. Their long-range endurance of airborne drones also confers an ability to take and hold terrain that current manned systems do not possess.
The primary benefits of ground maneuver swarms, according to Hurst, would be their immunity from the human element of fear, giving them a resilient, persistent level of combat effectiveness. Their ability to collect real-time battlefield intelligence makes them ideal for enabling modern maneuver warfare concepts.
Hurst examines how these capabilities could be exploited through each of the Army’s current schemes of maneuver: infiltration, penetration, frontal attack, envelopment, and the turning maneuver. While concluding that “ultimately, the technological limitations and advantages of maneuver swarms and fire support swarms will determine their uses,” Hurst acknowledged the critical role Army institutional leadership must play in order to successfully utilize the new technology on the battlefield.
U.S. officers and noncommissioned officers can accelerate that comfort [with new weapons] by beginning to postulate about the use of swarms well before they hit the battlefield. In the vein of aviation visionaries Billy Mitchell and Giulio Douhet, members of the Department of Defense must look forward 10, 20, or even 30 years to when artificial intelligence allows the deployment of swarm combatants on a regular basis. It will take years of field maneuvers to perfect the employment of swarms in combat, and the concepts formed during these exercises may be shattered during the first few hours of war. Even so, the U.S. warfighting community must adopt a venture capital mindset and accept many failures for the few novel ideas that may produce game-changing results.
An imaginative, knowledgeable leadership focused on military affairs, supported by extensive knowledge of, and competence in, the nature and background of the existing military system.
Effective coordination of the nation’s economic, technological-scientific, and military resources.
There must exist industrial or developmental research institutions, basic research institutions, military staffs and their supporting institutions, together with administrative arrangements for linking these with one another and with top decision-making echelons of government.
These bodies must conduct their research, developmental, and testing activities according to mutually familiar methods so that their personnel can communicate, can be mutually supporting, and can evaluate each other’s results.
The efforts of these institutions—in related matters—must be directed toward a common goal.
Opportunity for battlefield experimentation as a basis for evaluation and analysis.
The Defense Department announced yesterday a successful test of the world’s largest micro-drone swarm. Conducted at China Lake, California in October 2016 by the DOD’s Strategic Capabilities Office, in partnership with Naval Air Systems Command, three F/A-18 Super Hornets launched 103 Perdix micro-drones. According to the DOD press release, “the micro-drones demonstrated advanced swarm behaviors such as collective decision-making, adaptive formation flying, and self-healing.”
The micro-drone swarm comprises an autonomous system.
“Due to the complex nature of combat, Perdix are not pre-programmed synchronized individuals, they are a collective organism, sharing one distributed brain for decision-making and adapting to each other like swarms in nature,” said [Strategic Capabilities Office] Director William Roper. “Because every Perdix communicates and collaborates with every other Perdix, the swarm has no leader and can gracefully adapt to drones entering or exiting the team.”
To get an idea of the military potential of this technology, watch the demo video tracking the simulated mission.
In related news, the U.S. Army Research Laboratory and Georgia Technical Institute is developing the capability for soldiers in the field to 3D-print swarms of mini-drones to specific specifications within 24 hours. As reported by Defense One,
“A soldier with a mission need uses a computer terminal to rapidly design a suitable [drone],” says a poster by project chief engineer Zacarhy Fisher. “That design is then manufactured using automated processes such as laser cutting and 3D printing. The solution is sent back to the soldier and is deployed.”
Inspired by the modular adaptability of Legos, Fisher says the each drone could be fabricated in less than a day, with total turnaround time of less than three days.