Abstract
We describe LifeNet, a new common sense knowledge base that captures a first-person model of human experience in terms of a propositional representation. This is the beginning of a more 'agent-based' view of LifeNet where the subnetworks are specialists in subdomains of common sense. Grow LifeNet by learning from people's experiences. We have developed an interface that lets a wearable computer listen in on human conversations as well as observe other types of context like location as people are engaging in their day-to-day activities 9. We hope this will let us collect a large amount of data from which we can learn a common sense model of human activity
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