Technology utilization review and analysis, Volume I Final report, 28 Feb. - 31 Aug. 1964

Technology utilization review and analysis of Ranger Block III program - protein detection, biochemical battery, and solar cell technolog

A forgetting model for paired-associate learning

This paper presents a Markov model for paired-associate learning which is based on conclusion drawn from experimental studies of short-term memory. Learning of paired-associates is considered as a decrease in the probability of forgetting an association between trials. The ability of the model to account for experimental results is demonstrated by considering data from two experiments involving paired-associate lists. Observed values of the mean learning curve and response probabilities conditional on the outcome of the preceding trial are compared with the values predicted by the forgetting model and the one-element model. Comparison of parameter values for several experimental situations provides interpretations for the forgetting model's parameters. Finally, the model is applied to an experiment using an RRTTTT design to demonstrate its potential generality.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/32050/1/0000093.pd

Derivation of learning process statistics for a general markov model

A Markov learning model may be stated in the form of a transition matrix, starting vector, and response probability vector. Utilizing these and some general properties of absorbing Markov chains, general expressions are derived for several statistics of the learning process which can be applied to any model of this form. Included are derivations for the mean learning curve, number of total errors, trial numbers of the first success and the last error, and the number of error runs. As an illustration, all derivations are worked out for the simple two-state one-element model.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45722/1/11336_2005_Article_BF02289509.pd

Matrix analysis of identifiability of some finite markov models

Methods developed by Bernbach [1966] and Millward [1969] permit increased generality in analyses of identifiability. Matrix equations are presented that solve part of the identifiability problem for a class of Markov models. Results of several earlier analyses are shown to involve special cases of the equations developed here. And it is shown that a general four-state chain has the same parameter space as an all-or-none model if and only if its representation with an observable absorbing state is lumpable into a Markov chain with three states.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45730/1/11336_2005_Article_BF02291365.pd

Looking westwards and worshipping: The New York 'Creative Revolution' and British advertising, 1956-1980

This article explores the ways in which developments associated with the ?creative revolution? in New York advertising in the 1950s and 1960s were imported into the United Kingdom, helping to reshape advertising practices in London. In locating the development of UK advertising within this history of commercial exchange, this article explores the modes of transmission and the material conduits through which innovations in advertising practice crossed the Atlantic. It also focuses on the role played by a distinctive 1960s formation of practitioners who used an organisation called the Design and Art Directors Association to champion the new idioms of US advertising. Their rise to influence helped to legitimate a new set of criteria for evaluating advertising which placed ?creativity? above ?research? and the ?science of selling? as the principal measure of good advertising. In exploring the exporting of the ?new advertising? to the United Kingdom, this article develops a particular understanding of how Anglo-American advertising relations worked to shape UK advertising practices. This foregrounds the way the US ?creative revolution?, like other forms of US advertising, was adapted, hybridised and indigenised in its importing to Britain. This article shows how the ?new advertising? pioneered in New York was reworked and combined with more local cultural influences. Out of this emerged distinctive styles of British advertising in the 1960s and 1970s

An analysis of some conditions for representing N state Markov processes as general all or none models

Recently Markov learning models with two unidentifiable presolution success states, an error state, and an absorbing learned state, have been suggested to handle certain aspects of data better than the three state Markov models of the General All or None model type. In attempting to interpret psychologically, and evaluate statistically the adequacy of various classes of Markov models, a knowledge of the relationship between the classes of models would be helpful. This paper considers some aspects of the relationship between the class of General All or None models and the class of Stationary Absorbing Markov models with N error states, and M presolution success states.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45728/1/11336_2005_Article_BF02290602.pd

Discours aux créateurs

Bernbach William. Discours aux créateurs. In: Les Cahiers de la publicité, n°11, Enquête en Amérique. pp. 19-27

Stimulus Learning And Recognition In Paired-associate Learning.

PhDExperimentsPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/184163/2/6606572.pd