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- Kristin Andrews, On Predicting Behavior.I argue that the behavior of other agents is insufficiently described in current debates as a dichotomy between tacit theory (attributing beliefs and desires to predict behavior) and simulation theory (imagining what one would do in similar circumstances in order to predict behavior). I introduce two questions about the foundation and development of our ability both to attribute belief and to simulate it. I then propose that there is one additional method used to predict behavior, namely, an inductive strategy.
Similar books and articles
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.
This study is a comparison of the validity of theory of reasoned action and theory of planned behavior as applied to the area of moral behavior (i.e., illegal copying of software) using structural equation modeling. Data were collected from 181 university students on the various components of the theories and used to asses the influence of attitude, subjective norm, and perceived behavioral control on the intention to make unauthorized software copies. Theory of planned behavior was found to be better than the theory of reasoned action in predicting unethical behavior. A modified version of the theory of planned behavior, with a causal path linking subjective norm to attitude, provided a significant improvement on model fit. The results indicated that perceived behavioral control is a better predictor of behavioral intention then attitude. The direct effect of subjective norm on behavioral intention was not significant, but the indirect effect through attitude was highly significant. Applicability of the theory of planned behavior for moral behavior and the implications for future research are discussed.
Despite the prevalence of elective business ethics courses, little research has sought to explain and predict why some students enroll in these courses and while others do not. Using the theory of planned behavior (Ajzen and Madden, 1986) as a theoretical foundation, 178 graduate students in Ireland were surveyed about their intention to sign up for an elective ethics class. Their behavior was measured two months later. The results reveal the power of the theory of planned behavior to explain and predict who takes elective ethics classes.
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.
I suggest a pluralistic account of folk psychology according to which not all predictions or explanations rely on the attribution of mental states, and not all intentional actions are explained by mental states. This view of folk psychology is supported by research in developmental and social psychology. It is well known that people use personality traits to predict behavior. I argue that trait attribution is not shorthand for mental state attributions, since traits are not identical to beliefs or desires, and an understanding of belief or desire is not necessary for using trait attributions. In addition, we sometimes predict and explain behavior through appeal to personality traits that the target wouldn't endorse, and so could not serve as the target's reasons. I conclude by suggesting that our folk psychology includes the notion that some behavior is explained by personality traits—who the person is—rather than by beliefs and desires—what the person thinks. Consequences of this view for the debate between simulation theory and theory theory, as well as the debate on chimpanzee theory of mind are discussed.
I suggest a pluralistic account of folk psychology according to which not all predictions or explanations rely on the attribution of mental states, and not all intentional actions are explained by mental states. This view of folk psychology is supported by research in developmental and social psychology. It is well known that people use personality traits to predict behavior. I argue that trait attribution is not shorthand for mental state attributions, since traits are not identical to beliefs or desires, and an understanding of belief or desire is not necessary for using trait attributions. In addition, we sometimes predict and explain behavior through appeal to personality traits that the target wouldn't endorse, and so could not serve as the target's reasons. I conclude by suggesting that our folk psychology includes the notion that some behavior is explained by personality traits—who the person is—rather than by beliefs and desires—what the person thinks. Consequences of this view for the debate between simulation theory and theory theory, as well as the debate on chimpanzee theory of mind are discussed.
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.
According to both the traditional model of folk psychology and the social intelligence hypothesis, our folk psychological notions of belief and desire developed in order to make better predictions of behavior, and the fundamental role for our folk psychological notions of belief and desire are for making more accurate predictions of behavior (than predictions made without appeal to folk psychological notions). My strategy in this paper is to show that these claims are false. I argue that we need not appeal to mental states to make predictions of many behaviors, and I will offer a positive account of how we might go about predicting intentional behavior. Finally, I suggest that taken together, the critique of traditional folk psychology along with the alternative account of our predictive practices leads to a new hypothesis. While it may be true that mental state concepts developed in response to social-environmental pressures, I suggest that this pressure was more likely the need to explain behavior, rather than the need to predict it.
I argue that having a theory of mind requires having at least implicit knowledge of the norms of the community, and that an implicit understanding of the normative is what drives the development of a theory of mind. This conclusion is defended by two arguments. First I argue that a theory of mind likely did not develop in order to predict behavior, because before individuals can use propositional attitudes to predict behavior, they have to be able to use them in explanations of behavior. Rather, I suggest that the need to explain behavior in terms of reasons is the primary function of a theory of mind. I further argue that in order to be motivated to offer explanations of behavior, one must have at least an implicit understanding of appropriate behavior, which implies at least an implicit understanding of norms. The second argument looks at three cases of nonhuman animal societies that appear to operate within a system of norms. While there is no evidence that any species other than humans have a theory of mind, there is evidence that other species have sensitivity to the normative. Finally, I propose an explanation for the priority of norms over a theory of mind: given an understanding of norms in a society, and the ability to recognize and sanction violations, there developed a need to understand actions that violated the norms, and such explanations could only be given in terms of a person's reasons. There is a significant benefit to being able to explain behavior that violates norms, because explanations of the right sort can also serve to justify behavior.
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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).
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