While the convenience of getting groceries delivered to doorsteps is enticing, it tends to be a costly luxury. The vast majority of Americans are still strolling down store aisles themselves to check items off their shopping lists. And it's this demographic that startup Basket is targeting. The company is highlighting price transparency to helping people discover the best priced items at local stores. It does so by leveraging the power of the crowd. Basket has built up a database of grocery store items and their prices by tasking shoppers with capturing that information.

To use language one must be able to make inferences about the information which language conveys. This is apparent in many ways. For one thing, many of the processes which we typically consider "linguistic" require inference making. For example, structural disambiguation: (1) Waiter, I would like spaghetti with meat sauce and wine. You would not expect to be served a bowl of spaghetti floating in meat sauce and wine. That is, you would expect the meal represented by structure (2) rather than that represented by (3).

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.