Online research in philosophy

Theory of mind explanations of how we know other minds are limited in several ways. First, they construe intersubjective relations too narrowly in terms of the specialized cognitive abilities of explaining and predicting another person's mental states and behaviors. Second, they sometimes draw conclusions about secondperson interaction from experiments designed to test third-person observation of another's behavior. As a result, the larger claims that are sometimes made for theory of mind, namely, that theory of mind is our primary and pervasive means for understanding other persons, go beyond both the phenomenological and the scientific evidence. I argue that the interpretation of "primary intersubjectivity" as merely precursory to theory of mind is inadequate. Rather, primary intersubjectivity, understood as a set of embodied practices and capabilities, is not only primary in a developmental sense, but is the primary way we continue to understand others in second-person interactions.

Perhaps because both explanation and prediction are key components to understanding, philosophers and psychologists often portray these two abilities as though they arise from the same competence, and sometimes they are taken to be the same competence. When explanation and prediction are associated in this way, they are taken to be two expressions of a single cognitive capacity that differ from one another only pragmatically. If the difference between prediction and explanation of human behavior is merely pragmatic, then anytime I predict someone’s future behavior, I would at that moment also have an explanation of the behavior. I argue that advocates of both the theory theory and the simulation theory accept the symmetry of psychological prediction and explanation. However, there is very good reason to believe that this hypothesis is false. Just as we can predict the occurrence of some physical phenomena that we have no explanation for, we are also able to make accurate predictions of intentional behavior without having an explanation. Rather than requiring mental state attribution, I argue that the prediction of human behavior is most often accomplished by statistical induction rather than through an appeal to mental states. However, explanations are not given in these terms.

What is the simulation theory? Arguments for simulation theory Simulation theory versus theory theory Simulation theory and cognitive science Versions of simulation theory A possible test of the simulation theory.

The distinction between analog and digital representation is reexamined; it emerges that a more fundamental distinction is that between symbolic and analog simulation. Analog simulation is analyzed in terms of a (near) isomorphism of causal structures between a simulating and a simulated process. It is then argued that a core concept, naturalistic analog simulation, may play a role in a bottom-up theory of adaptive behavior which provides an alternative to representational analyses. The appendix discusses some formal conditions for naturalistic analog simulation.

The debate over off-line simulation has largely focussed on the capacity to predict behavior, but the basic idea of off-line simulation can be cast in a much broader framework. The central claim of the off-line account of behavior prediction is that the practical reasoning mechanism is taken off-line and used for predicting behavior. However, there's no reason to suppose that the idea of off-line simulation can't be extended to mechanisms other than the practical reasoning system. In principle, any cognitive component can be taken off-line and used to perform some other function. On this view of off-line simulation, such accounts differ radically from traditional information-based accounts of cognitive capacities. And cognitive penetrability provides a wedge for empirically determining whether a capacity requires an information-based account or an off-line simulation account. Stich and Nichols (1992) argued that the simulation theory of behavior prediction was inadequate because behavior prediction seemed to be cognitively penetrable. We present empirical evidence that supports the claim that the behavior prediction is cognitively penetrable. As a result, the simulation account of behavior prediction still seems unpromising. However, off-line simulation might provide accounts of other cognitive capacities. Indeed, off- line simulation accounts have recently been offered for a strikingly diverse set of capacities including counterfactual reasoning, empathy and mental imagery. Goldman, for instance, maintains that counterfactual reasoning and empathy clearly demand off-line simulation accounts. We argue that there are alternative information-based explanations of these phenomena. Nonetheless, the off-line accounts of these phenomena are interesting and clearly worthy of further exploration.

Most discussions of causal explanations of behavior focus on the problem of whether it makes sense to regard reasons as causes of human behavior, whether there can be laws connecting reasons with behavior, and the like. This essay discusses explanations of human behavior that do not appeal to reasons. Such explanations can be found in several areas of the social sciences. Moreover, these explanations are both causal and non-reductionist. Historical linguists, for example, offer causal explanations of changes in how words are pronouncedand linguistic change in generalwithout appealing to human intentions. I use examples from linguistics, anthropology, and evolutionary psychology to discuss the importance of this sort of explanation and to examine its compatibility with recent philosophical accounts of causation.

Naturalistic theories of content and whether or not reason-giving explanations of human behavior are causal explanations have been central topics in recent philosophy of mind. Fred Dretske, in his book Explaining Behavior, attempts to construct a naturalistic theory of the contents of beliefs and desires that gives these mental states an important role in the causation of behavior. Even if Dretske is granted that the theory adequately accounts for individual behaviors the theory still faces problems in offering an adequate account of important features of extended sequences of behavior. Some sequences of behavior exhibit coherence in the sense that the elements of the sequence either contribute to the atttainment of a goal state or only make sense on the supposition that the goal state will be attained. Two ways of attaining coherence are distinguished. In chaining behavior coherence is guaranteed by the fit between the internal structure of the organism and the structure of the external environment. In other cases of coherence chaining is not available as an explanation. It is argued that Dretske.

The theory-theory claims that the explanation and prediction of behavior works via the application of a theory, while the simulation theory claims that explanation works by putting ourselves in others' places and noting what we would do. On either account, in order to develop a prediction or explanation of another person's behavior, one first needs to have a characterization of that person's current or recent actions. Simulation requires that I have some grasp of the other person's behavior to project myself upon; whereas theorizing requires a subject matter to theorize about. The frame problem shows that multiple, true characterizations are possible for any behavior or situation. However, only one or a few of these characterizations are relevant to explaining or predicting behavior. Since different characterizations of a behavior lead to different predictions or explanations, much of the work of interpersonal interpretation is done in the process of finding this characterization - that is, prior to either theorizing or simulating. Moreover, finding this characterization involves extensive knowledge of the physical, cultural, and social worlds of the persons involved.

In the last few years, off-line simulation has become an increasingly important alternative to standard explanations in cognitive science. The contemporary debate began with Gordon (1986) and Goldman's (1989) off-line simulation account of our capacity to predict behavior. On their view, in predicting people's behavior we take our own decision making system `off line' and supply it with the `pretend' beliefs and desires of the person whose behavior we are trying to predict; we then let the decision maker reach a decision on the basis of these pretend inputs. Figure 1 offers a `boxological' version of the off-line simulation theory of behavior prediction.(1).