49,631 research outputs found
Towards a Unifying Model of Rationality in Multiagent Systems
Multiagent systems deployed in the real world need to cooperate with other
agents (including humans) nearly as effectively as these agents cooperate with
one another. To design such AI, and provide guarantees of its effectiveness, we
need to clearly specify what types of agents our AI must be able to cooperate
with. In this work we propose a generic model of socially intelligent agents,
which are individually rational learners that are also able to cooperate with
one another (in the sense that their joint behavior is Pareto efficient). We
define rationality in terms of the regret incurred by each agent over its
lifetime, and show how we can construct socially intelligent agents for
different forms of regret. We then discuss the implications of this model for
the development of "robust" MAS that can cooperate with a wide variety of
socially intelligent agents.Comment: 5 Pages, To appear in the OptLearnMAS Workshop at AAMAS 202
The Contribution of Society to the Construction of Individual Intelligence
It is argued that society is a crucial factor in the construction of individual intelligence. In other words that it is important that intelligence is socially situated in an analogous way to the physical situation of robots. Evidence that this may be the case is taken from developmental linguistics, the social intelligence hypothesis, the complexity of society, the need for self-reflection and autism. The consequences for the development of artificial social agents is briefly considered. Finally some challenges for research into socially situated intelligence are highlighted
Social Mental Shaping: Modelling the Impact of Sociality on Autonomous Agents' Mental States
This paper presents a framework that captures how the social nature of agents that are situated in a multi-agent environment impacts upon their individual mental states. Roles and relationships provide an abstraction upon which we develop the notion of social mental shaping. This allows us to extend the standard Belief-Desire-Intention model to account for how common social phenomena (e.g. cooperation, collaborative problem-solving and negotiation) can be integrated into a unified theoretical perspective that reflects a fully explicated model of the autonomous agent's mental state
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