Your base of operations is a thing of simplistic beauty. A series of well designed and geographically distinctive locations are decorated with all the appropriate furnishings, and paying close attention to your environment means finding life-saving cover. The maps where combat takes place are varied. Grotesque genetically mutated flesh fused with harsh metallic advanced technology. Each of the alien species on show is distinctive and menacing. The soldiers are well animated, their equipment and weapons easy to identify from your perch on high. There's so much to admire, from the styling of the units under your command, to the environments that you send them into. The first thing that really grabs us are the visuals. Whilst growing your (literally) underground operation, researching technology, building a fleet of Interceptor jet planes, and upgrading your facilities, you are tasked with directly dealing with the alien threat via a series of tense turn-based engagements.
You're put in command of XCOM, an organisation funded by 16 countries seeking to repel the increasing number of alien incursions taking place across the planet. Hence, we present On-line Estimators for Ad-hoc Task Allocation with Adversary (OEATA-A), a novel algorithm to have better estimations of the teammates’ future behaviour, which includes identifying enemies among friends.Like its forbear, Xcom is a mixture of real-time base management, and turn-based combat.
In this study, we assume there is an agent who estimates the model of other agents in the team to boost the team’s performance regardless of the enemy’s attacks. However, there is a possibility of an adversary in the team, who tries to prevent other agents from achieving their goals. Each agent in the team is responsible for selecting their own task and completing it autonomously. In the meantime, agents often coordinate in a decentralised manner to complete tasks that are displaced in an environment (e.g., foraging, demining, rescue or firefighting). Many real-world applications require agents to cooperate and collaborate to accomplish shared missions though, there are many instances where the agents should work together without communication or prior coordination. Book series (LNCS, volume 13054) Abstract
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