Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....how users would use text presented in browsers to make navigation decisions. The model of users judgments of information scent is based on spreading activation. A specific version of spreading activation [28] uses mechanisms based on the analysis of the requirements of an optimal memory system [31, 32]. This is the version of spreading activation used to develop a model of information scent. The basic idea is that a user s information goal activates a set of chunks in a user s memory, and text on the display screen activates another set of chunks. Activation spreads from these chunks to related ....

Anderson, J.R., The adaptive character of thought. 1990, Hillsdale, NJ: Lawrence Erlbaum Associates.

....here. One level is the symmetry between visible face and invisible back, and the other aspect of symmetry is involved with the direction of the statement if . then . Right, o.k. so I guess in terms of the if. then it is not symmetrical . In that case you do not need that one [2], you just need E. while attempting the task he makes some notes which indicate that he is still aware of the symmetry of the cards] For U, if there is an 8 on the other side, then rule one is true, and you d assume that rule two is false. And with I, if you have an 8, then rule one is ....

....More formally, we may compute the information about the hypothesis yielded by an outcome, and then average over the possible outcomes weighted by their probabilities. It then seems sensible to choose the experiment with the highest expected information gain. In a nutshell, this is Anderson s [2] procedure of optimal data selection , which is taken by him to underlie much of cognition. It is also known by the catchphrase rational analysis . In a rational (in this sense) analysis of a particular cognitive activity one tries to show that an organism s behaviour is optimally adapted to ....

J.R. Anderson. The adaptive character of thought. Lawrence Erlbaum Associates, Hillsdale, NJ., 1990.

....and users critique those suggestions, making them more accurate. This is easier for users than forcing them to recall enough information to define useful filters. The mechanisms that agents use to carry out many of their functions are loosely based on Anderson s Rational Analysis of Human Memory [1]. His analysis leads to the definition of several effects that help measure how effectively the history of usage patterns predicts current usage patterns, or the probability that an item is needed given the history of need for such items. For this reason agents keep track of numerous pieces of ....

Anderson, J. R.; The Adaptive Character of Thought; Lawrence Erlbaum Associates: Hillsdale, New Jersey, 1990.

....plausible , but they rarely get down to actual fine grained details and rarely implement models based on first principles (e.g. reflexes, reaction times, effects of stress, fatigue and adrenalin effects, judgment rates, etc. While there are some important exceptions such as SOAR [23] or ACT R [25], in general, both the game graphics animators, and the researchers in the AI and BDI communities tend to view their models and methods as performing tasks that humans can do, but doing them differently than humans would. Deep Blue does not play chess like a human would. So, care must be taken ....

....or P. Thus the less time we have to complete a task the less likely the task outcome will be successful. It is useful to now turn to the discussion of the decision processing style function, F , iSTRESS, W . There is a large literature on decision style functions (e.g. among many others see [22,25,31, 37, 39, 45 47, 53, 66, 69 70]) and the discussion here is merely to indicate that there is a rich set of possibilities that one can explore within the modified MDP framework proposed here. We begin by indicating how the various components of iSTRESS (beyond just TP) and coping level (W) might impact upon an agent s choice of ....

Anderson, J.R. (1990). The Adaptive Character of Thought, Lawrence Erlbaum, Hillsdale, NJ

....to evaluate a link even though human users times are certainly variable. Since the model simulates the average user, this simplification will provide a good fit given a reasonable estimate of fixed time from human performance data. The model assumes that human cognition is generally rational [1, 9]. It will thus seek the most effective strategy for a given environment unless compelling evidence from human usage suggests otherwise. Given the large set of navigation strategies that can operate within reasonable physical and cognitive limitations, we examine a strategy that is most effective ....

Anderson, J.R. The Adaptive Character of Thought. Erlbaum, Hillsdale, NJ, 1990.

....element in ACT R also has associated with it an activation value, which determines whether and how rapidly it may be accessed. Third, ACT R contains learning mechanisms, but is not a pervasive learning system in the same sense as Soar. These mechanisms are based on a rational analysis (Anderson, 1990) of the information needs of an adaptive cognitive system. For example, consider conflict resolution. Each production in ACT R has associated with it several numeric parameters, including numbers which represent the probability that if the production fires, the goal will be reached and the cost, ....

Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Erlbaum.

....likelihood. Our analysis makes precise one core sense of representativeness the extent to which something is a good example of a category or process and exposes its underlying rational basis. Rational models have been successfully applied to a number of cognitive capacities (Shepard, 1987; Anderson, 1990; Oaksford Chater, 1998) but not previously to analyzing representativeness, which has traditionally been thought of as an alternative to normative probabilistic judgment. By clarifying the relation between our intuitive sense of representativeness and normative principles of statistical ....

Anderson, J. R. (1990). The adaptive character of thought. Erlbaum, Hillsdale, NJ.

....likelihood. Our analysis makes precise one core sense of representativeness the extent to which something is a good example of a category or process and exposes its underlying rational basis. Rational models have been successfully applied to a number of cognitive capacities (Shepard, 1987; Anderson, 1990; Oaksford Chater, 1998) but not previously to analyzing representativeness, which has traditionally been thought of as an alternative to normative probabilistic judgment. By clarifying the relation between our intuitive sense of representativeness and normative principles of statistical ....

Anderson, J. R. (1990). The adaptive character of thought. Erlbaum, Hillsdale, NJ.

....chunk in memory or a retrieval of that chunk from memory. When cognition attempts a retrieval, ACT R s memory system returns the most active chunk. This reflects the rational memory assumption, in which activation represents the memory system s best guess at the chunk most likely to be needed now (Anderson, 1990). Activation in ACT R has two components, one representing a chunk s history of use and the other representing the chunk s relevance to the current context. Base level activation represents history of use. For example, a period of concentrated rehearsal or encoding makes a chunk very active. ....

Anderson, J. R. (1990). The adaptive character of thought.

....certainly opens a door for arguments like the one that people may not show these biases when they face real world problems. In recent years, the view of bounded rationality has become generally accepted (e.g. see Evans, Over, Manktelow, 1993; March, 1994) The ACT R theory developed by John Anderson (1990, 1991, 1993; Anderson Schooler, 1991) is a representative theory that takes this bounded rationality view as one of its foundations. According to this theory, human cognition can be understood in terms of a rational analysis. This rational analysis can be illustrated at two levels. At the ....

Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Erlbaum.

....on a given cycle is called conflict resolution. This is one of many features that distinguishes ACT R from EPIC and Soar; in ACTR, only one production fires per cycle and in Soar and EPIC all matching productions fire on a particular cycle. Conflict resolution is based on a rational analysis (e.g. Anderson, 1990) of the expected utility of a production vs. its costs, which are in terms of time. Conflict resolution will be considered in more detail in Section 4.2. Productions may request the retrieval of a chunk from declarative memory, and the time to complete this operation is a function of the ....

....ACT R Visual Interface model. Before presenting the results of this model, some discussion of conflict resolution in ACT R is required. When multiple productions have their condition satisfied, ACT R needs to make a decision about which one to fire. This decision is based on a rational analysis (Anderson, 1990) of costs and benefits. Each production has an expected value, E, which is computed based on the formula PG C. P is the estimated probability that if the production fires, the goal matched in the production will be satisfied. G is the value of the goal, which is by default 20. C is the cost, in ....

Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum.

....context information to relatively low level visual areas, thereby informing their ability to discover structure in their inputs. Introduction Bayesian principles have been regaining popularity within cognitive science, both in the more traditional approaches to cognitive psychology (e.g. Anderson, 1990) and within the connectionist approach to cognition (e.g. MacKay, 1995; McClelland, 1998) Our current work is a preliminary investigation of incorporating two specific constraints, context and sparse coding, into an existing Bayesian unsupervised learning paradigm for multilayered architectures ....

Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum Associates.

....gain function as in U. Categorizing and ranking WWW pages allows an information forager to rapidly identify high value, ranked, categories (HC) and low value categories (LC) and concentrate on exploiting the HC gain curve. Spreading Activation to Predict Needed Information Anderson and Milson [1, 3] have recently argued that human memory has adapted through evolution to optimize the retrieval of needed information (memories) based on the current context of attention. Generally, one could say that their analysis relies on three general sorts of information to compute the need probabilities of ....

Anderson, J.R., The adaptive character of thought. Lawrence Erlbaum Associates, Hillsdale, NJ, 1990.

....and asking people to estimate t total . The resulting distribution will give a prior, P (t total ) that can be used to predict further responses. Finally, it is interesting to note that the ability to predict the future may be important to domains other than conscious planning. For instance, Anderson (1990) argued that memorymay display similar temporal sensitivities. The major challenge for any memory system is to index entries in a fashion whereby those that are needed will be readily available. This requires predicting the future: given an event, the expected future occurrence of the event must ....

....sensitivities. The major challenge for any memory system is to index entries in a fashion whereby those that are needed will be readily available. This requires predicting the future: given an event, the expected future occurrence of the event must be inferred if it is to be indexed appropriately. Anderson (1990) suggests that these inferences occur unconsciously, and are an important part of the human memory. One attractive component of future research is thus exploring the extent to which unconscious temporal judgments reflect Bayesian principles. Acknowledgements This research was supported in part ....

Anderson, J. R. (1990). The Adaptive Character of Thought. Lawrence Erlbaum, Hillsdale, NJ.

....p(wB jh C = 0) to be uniform. The Dirac delta distribution on wC = 0 enforces the restriction that the C E link is absent. By making these assumptions, we eliminate the need for any free numerical parameters in our probabilistic model (in contrast to a similar Bayesian account proposed by Anderson [1]) Because causal support depends on the full likelihood functions for both Graph 1 and Graph 0 , we may expect the support model to be modulated by causal power which is based strictly on the likelihoodmaximum estimate for Graph 1 but only in interaction with other factors that determine ....

J. Anderson (1990). The adaptive character of thought. Erlbaum.

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Anderson, J.R. (1990) The Adaptive Character Of Thought, Erlbaum

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Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

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John R. Anderson. The Adaptive Character of Thought. Lawrence Erlbaum Associates, Hillsdale, NJ, 1990.

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Anderson, J. R. (1990). The Adaptive Character of Thought. Hillsdale NJ: Lawrence Erlbaum.

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J. .R. Anderson. The Adaptive Character of Thought. Erlbaum, 1990.

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J.R. Anderson. The adaptive character of thought. Lawrence Erlbaum Associates, Hillsdale, NJ., 1990.

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J. .R. Anderson. The Adaptive Character of Thought. Erlbaum, 1990.

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J. R. Anderson. The Adaptive Character of Thought. Erlbaum, Hillsdale, NJ, 1990.

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J. .R. Anderson. The Adaptive Character of Thought. Erlbaum, 1990.

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J. R. Anderson. The Adaptive Character of Thought. Erlbaum, Hillsdale, NJ, 1990.

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