1. When we attribute beliefs, desires, and other states of common sense psychology to a person, or for that matter to an animal or an artifact, we are assuming or presupposing that the person or object can be treated as an intentional system. 2. An intentional system is one which is rational through and through; its beliefs are those it ought to have, given its perceptual capacities, its epistemic needs, and its biography…. Its desires are those it ought to have, (...) given its biological needs and the most practicable means of satisfying them…. And its behavior will consist of those acts that it would be rational for an agent with those beliefs and desires to perform. [beliefs + desires  action] 3. If rationality is absent, we cannot coherently ascribe beliefs at all. 4. Therefore, no experiment could demonstrate that people systematically invoke invalid or irrational inferential strategies. (shrink)

A theory of information is developed in which the informational content of a signal (structure, event) can be specified. This content is expressed by a sentence describing the condition at a source on which the properties of a signal depend in some lawful way. Information, as so defined, though perfectly objective, has the kind of semantic property (intentionality) that seems to be needed for an analysis of cognition. Perceptual knowledge is an information-dependent internal state with a content corresponding to the (...) information producing it. This picture of knowledge captures most of what makes knowledge an important cpistcmological notion. It also avoids many of the problems infecting traditional justificational accounts of knowledge (knowledge as [justified, true belief those (unlike knowledge) having a content that can be either true or false (e.g., belief) – are described in terms of the way internal (presumably neural) structures acquire during learning a certain information-carrying role. The content of these structures (whether true or false) is identified with the kind of information they were developed to carry. (shrink)

Three recent, influential critiques (Stich 1978; Fodor 1981c; Block 1980) have argued that various tasks on the agenda for computational psychology put conflicting pressures on its theoretical constructs. Unless something is done, the inevitable result will be confusion or outright incoherence. Stich, Fodor, and Block present different versions of this worry and each proposes a different remedy. Stich wants the central notion of belief to be jettisoned if it cannot be shown to be sound. Fodor tries to reduce confusion in (...) computational psychology by dismissing some putative tasks as impossible. Block argues that the widespread faith in functionalism is just not warranted. I argue that all these critiques are misguided because they depend on holding cognitive psychology to taxonomic standards that other sciences routinely rise above. (shrink)

The flight to reference is a widely-used strategy for resolving philosophical issues. The three steps in a flight to reference argument are: (1) offer a substantive account of the reference relation, (2) argue that a particular expression refers (or does not refer), and (3) draw a philosophical conclusion about something other than reference, like truth or ontology. It is our contention that whenever the flight to reference strategy is invoked, there is a crucial step that is left undefended, and that (...) without a defense of this step, the flight to reference is a fatally flawed strategy; it cannot succeed in resolving philosophical issues. In this paper we begin by setting out the flight to reference strategy and explaining what is wrong with arguments that invoke the strategy. We then illustrate the problem by considering arguments for and against eliminative materialism. In the final section we argue that much the same problem undermines Philip Kitcher's attempt to defend scientific realism. (shrink)

Ethologists and others studying animal behavior in a spirit are in need of a descriptive language and method that are neither anachronistically bound by behaviorist scruples nor prematurely committed to particular Just such an interim descriptive method can be found in intentional system theory. The use of intentional system theory is illustrated with the case of the apparently communicative behavior of vervet monkeys. A way of using the theory to generate data - including usable, testable data - is sketched. The (...) underlying assumptions of this approach can be seen to ally it directly with theorizing in evolutionary biology, which has recently come under attack from Stephen Gould and Richard Lewontin, who castigate it as the Their arguments, which are strongly analogous to B. F, Skinner's arguments against point to certain pitfalls that attend the careless exercise of such thinking (and rival varieties of thinking as well), but do not constitute a fundamental objection to either adaptationist theorizing or its cousin, intentional system theory. (shrink)

This paper challenges some leading views about the conditions under which the ascription of beliefs and desires can make sense of, or provide reasons for, a creature's behavior. I argue that it is unnecessary for behavior to proceed from beliefs and desires according to the principles of logic and decision theory, or even from principles that generally get things right. I also deny that it is necessary for behavior to proceed from principles that, though perhaps subrational, are similar to those (...) that we ourselves use. I then propose some conditions that are considerably weaker, and argue that they fulfill the descriptive and explanatory requirements of intentional ascription. (shrink)

This article is an extended critical study of Robert C. Stalnaker, 'Inquiry' (Cambridge, MA: MIT Press, 1984).

Current computational psychology, especially as described by Fodor (1975, 1980, 1981), Pylyshyn (1980), and Stich (1983), is both a bold, promising program for cognitive science and an alternative to naturalistic psychology (Putnam 1975). Whereas naturalistic psychology depends on the general scientific framework to fix the meanings of general terms and, hence, the content of thoughts utilizing or expressed in those terms, computational cognitive theory banishes semantical considerations in psychological investigations, embracing methodological, not ontological, solipsism. I intend to argue that computational (...) psychology cannot individuate thoughts as it promises. For, semantics is fundamental in fixing an important subset of the computational relations that, according to the computational theory, are supposed both to obtain among thoughts and, thereby, to determine their identity conditions. If what I contend is correct, then contrary to what its advocates maintain, computational psychology is not preferable to naturalistic psychology as a research strategy in cognitive science. (shrink)

There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics (...) entirely. This paper argues that a correct account of computation requires us to attribute content to computational processes in order to explain which functions are being computed. This entails that computational psychology must countenance mental representations. Since anti-semantic positions are incompatible with computational psychology thus construed, they ought to be rejected. Lastly, I argue that in an important sense, computers are not formal symbol manipulators. (shrink)