Shared Boundaries Reduce Escalation in Territorial Conflict Game

In a two-person computer game designed to model territorial conflict, players often interpreted an opponent’s defensive movements as threats, triggering cycles of escalating hostilities, according to a UCLA-led study. Adding a shared visual boundary changed that pattern: participants made fewer incursions into what they perceived as the other player’s territory, concentrated defenses along the dividing line and experienced fewer battles and casualties, while peaceful periods lasted longer. The boundary provided no strategic advantage, suggesting that a common reference point helped players interpret ambiguous actions without direct communication.

The peer-reviewed study was published in the Journal of Experimental Psychology: General. Study leader Tao Gao, identified as a UCLA cognitive scientist, developed the game with colleague Zhen Li of Zhejiang University in Hangzhou, China. It was designed as a controlled test of how people infer intentions from visible actions when neither side can communicate directly.

Players competed to maximize their wealth by occupying a limited grid. Troops dispatched from bases advanced one square per round, and each occupied square generated “tax” that was automatically converted into additional troops, linking territorial control to growing military capacity. When opposing troops met on the same square, a battle occurred, with the larger force having a higher probability of victory.

The victor secured the square, while defeated troops retreated. The game’s resource structure was deliberately designed to make prolonged combat costly. Even the winner in a battle could suffer heavy casualties, and continued fighting could deplete the resources available to both players.

Each participant therefore repeatedly faced a choice between a war of attrition and a way to coexist. Neither player could announce whether a movement was intended to attack or defend, so each had to infer the other side’s objective solely by observing troop movements. This created an information-limited version of the “fog of war,” in which uncertainty about an adversary’s aims can make ambiguous actions appear threatening.

Players frequently misread defensive movements as preparations for aggression, producing a pattern the researchers describe as a security dilemma. One side moves troops forward for protection, but the other cannot distinguish protection from preparation for attack and responds with a buildup of its own. That response then appears threatening to the first side.

The experiment therefore captured a self-reinforcing sequence in which uncertainty about intentions contributes to reciprocal escalation. Gao said the results show that, without knowing another’s intentions, defensive actions can be misinterpreted as threats and contribute to costly conflict, whereas greater clarity about intentions can help conflicts de-escalate. The researchers’ interest in this mechanism was connected to the origins of the First World War.

Gao began creating the game in 2021 after reading about how the war began through decisions made by a relatively small number of people and became a prolonged, expensive conflict with millions of casualties. He was particularly interested in the security dilemmas facing Russia, Germany and France, including the possibility that actions such as defensive railway construction could be interpreted as precursors to attack. Although historical records provide extensive documentation about leaders and major decisions, they do not reveal the private psychology behind those choices as directly as a controlled experiment.

The simulation was intended to capture the challenge of conflict mitigation under uncertainty at the individual level and to explore interventions that might reduce conflict intensity in artificial agents. It was created around 2020, when the world was largely at peace, and finished after wars had flared in Ukraine, Israel and Iran. To test whether a shared reference could interrupt the escalation cycle, the researchers divided the grid into two differently colored regions.

They called this visual division a “territorial Gestalt,” intended to mimic the way natural landmarks can organize perception in the real world. The colors had no mechanical effect on the game. Participants were encouraged to ignore the groupings and were told that the regions carried no defensive value and did not influence rewards.

Even so, they continued to use the visual division as if it were a legitimate border. Troops were less likely to enter the other player’s perceived territory, and players were more likely to place defenses along the line separating the regions. The experimental outcome was a reduction in direct fighting.

Battles and casualties declined, and periods of peaceful coexistence lasted longer than they did in the version without an obvious boundary. The colored regions did not communicate intentions directly or impose a rule against crossing the line. Instead, they gave both players a common frame for interpreting the board.

Movement within one’s own side could be separated more clearly from movement toward or across the apparent boundary, making defensive concentrations less likely to be understood as attempts at expansion. The researchers described this shared reference as a focal point: a common feature that helps people coordinate their behavior even when they cannot communicate. This mechanism may matter because a shared concept can stabilize interpretation even when the concept itself has no direct relationship to the dispute.

In the game, the boundary was not presented as a negotiated settlement, a military rule or an economic incentive. It was simply visible to both sides. Once participants treated the division as meaningful, it supplied a consistent basis for judging the difference between defense and aggression.

Gao said the findings show that resolving a conflict may require something mutually salient and shared, even when what the parties agree upon has no bearing on the conflict itself. The study thus examines how adding a cognitive reference point can alter behavior without directly regulating troop movements. The research also points toward future work involving artificial intelligence, particularly systems that could negotiate on behalf of people.

Gao noted that a war between humans and AI would be an extreme case, but conflicts of interest involving AI may arise across many social settings. An AI acting for a human negotiator would need to recognize the salient mental entities in human conceptual structure so that it could use shared “out-of-the-game” concepts as natural focal points and avoid crossing boundaries that people deeply respect. This is a proposed application rather than a demonstrated diplomatic intervention: the reported findings concern a simplified territorial game with two human participants, not autonomous negotiating agents or international crises.

The evidence supports a controlled behavioral finding, not a claim that colored lines can resolve wars among nations. The release does not provide participant counts, confidence intervals or numerical effect sizes, so the magnitude and statistical precision of the boundary effect cannot be evaluated from the reported material alone. It also does not establish that the game reproduces the full complexity of international politics.

What the experiment does show is that people facing an information-limited conflict can misclassify defense as aggression, while a visible boundary that both participants interpret similarly can reduce incursions, organize defenses, limit battles and casualties, and extend peaceful coexistence. The results offer a testable account of one cognitive mechanism that may contribute to escalation and suggest a design principle for later investigation in more complex human-AI negotiations.

Subject of Research: How shared visual boundaries affect threat perception and escalation in an experimental territorial-conflict game.

Article Title: Breaking through the ‘fog of war’ to find peace

Article References: Breaking through the ‘fog of war’ to find peace. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: territorial conflict, security dilemma, threat perception, de-escalation, focal points, boundary effects, laboratory game, human-AI negotiation, cognitive science, Breaking, find, peace