Seven features which in practice seem to differentiate belief systems from knowledge systems are discussed. These are: nonconsensuality, “existence beliefs,” alternative worlds, evaluative components, episodic material, unboundedness, and variable credences. Each of these features gives rise to challenging representation problems. Progress on any of these problems within artificial intelligence would be helpful in the study of knowledge systems as well as belief systems, inasmuch as the distinction between the two types of systems is not absolute.

The rational choice assumption that any chosen behavior can be understood as optimizing material self?interest is not borne out by psychological research. Expressive motives, for example, are prominent in the symbols of politics, in social relationships, and in the arts of persuasion. Moreover, instrumentality is a mindset that is learned (perhaps overlearned), and can be situationally manipulated; because it is valued in our society, it provides a privileged vocabulary for justifying behaviors that may have been performed for other reasons, and (...) encourages the illusory belief in the universality of rational choice. (shrink)