Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
Software reliability: achievement and assessment
Software reliability: achievement and assessment
Intelligence without representation
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Context and consciousness: activity theory and human-computer interaction
Context and consciousness: activity theory and human-computer interaction
An overview of distributed artificial intelligence
Foundations of distributed artificial intelligence
Information theory
The Universal Turing Machine: A Half-Century Survey
The Universal Turing Machine: A Half-Century Survey
Understanding intelligent agents: analysis and synthesis
AI Communications
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This paper presents a framework for agent communication and its mediation by technological systems. The goal of the framework is to provide quantitative mechanisms that will allow principled decisions to be made about the use and construction of mediating technological systems. Beginning with a simple model of interaction between agents, a model of communication influenced by bounded knowledge of others (or common ground) is developed. This leads to predictions that agent interactions generate equilibrium phenomena where optimal levels of grounding emerge over time between agents.