Conjecturing that an agent's ability to perceive the intentions of others can increase its chances of survival, we introduce a simple game, the Hero's Dilemma, which simulates interactions between two virtual agents to investigate whether an agent's ability to detect the intentional stance of a second agent provides a measurable survival advantage. We test whether agents able to make decisions based on the perceived intention of an adversarial agent have advantages over agents without such perception, but who instead rely on a variety of different game-playing strategies. In the game, an agent must decide whether to remain hidden or attack an often more powerful agent based on the perceived intention of the other agent. We compare the survival rates of agents with and without intention perception, and find that intention perception provides significant survival advantages and is the most successful strategy in the majority of situations tested.
The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception [The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception]
Being able to assess and calculate risks can positively impact an agent’s chances of survival. When other intelligent agents alter environments to create traps, the ability to detect such intended traps (and avoid them) could be life-saving. We investigate whether there are cases for which an agent’s ability to perceive intention through the assessment of environmental artifacts provides a measurable survival advantage. Our agents are virtual gophers assessing a series of room-like environments, which are potentially dangerous traps intended to harm them. Using statistical hypothesis tests based on configuration coherence, the gophers differentiate between designed traps and configurations that are randomly generated and most likely safe, allowing them access to the food contained within them. We find that gophers possessing the ability to perceive intention have significantly better survival outcomes than those without intention perception in most of the cases evaluated.
- Award ID(s):
- 1950885
- Publication Date:
- NSF-PAR ID:
- 10315004
- Journal Name:
- Proceedings of the 13th International Conference on Agents and Artificial Intelligence
- Volume:
- 1
- Sponsoring Org:
- National Science Foundation
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