Cognitive style and recognition memory in young adults

Differences between impulsive and reflective subjects may be related to the amount of information processed in a given task. This possibility was tested in a visual-verbal probe recognition task. Twenty-three impulsive and 23 reflective adults subjects were divided into experimental and control groups. Experimental subjects were briefly exposed to a complex stimulus, whereas control subjects were given a comparable exposure to a different stimulus. Subjects were asked to choose between equal number of positives (stimulus-relevant) and negative probe items. A comparison of areas under memory operating characteristic curves for experimental subjects indicated that the recognition threshold for positive probes for impulsive subjects was significantly lower than the threshold for reflective subjects. The difference between subjective likelihood criteria was not significant. Also, accuracy of experimental subjects was significantly greater than that of control subjects. Differences in information availability were thought to be indicative of differences in selective attention processes.     

Isolating the components of intelligence

In a recent volume (Sternberg, 1977b), I proposed a method called componential analysis that provides a means to isolate the components of intelligent performance. The method was described in detail, and then tested in a series of experiments. But an important question was left unanswered by this early work: Is componential analysis generalizable to tasks other than analogies? More recently, I have been investigating the generalization of the methodology to other tasks, and have also been engaged in extending the methodology in order to increase its flexibility of application. The present article (a) briefly summarizes the structure of a componential analysis, (b) describes the method of precuing, the method originally used for isolating the components of intelligence, and (c) describes new methods that have also been successful in isolating these components in a variety of reasoning tasks.     

POLITICS: Automated ideological reasoning

POLITICS is a system of computer programs which simulates humans in comprehending and responding to world events from a given political or ideological perspective. The primary theoretical motivations were: (1) the implemention of a functional system which applies the knowledge structures of Schank and Abelson (1977) to the domain of simulating political belief systems; (2) the development of a tentative theory of intentional goal conflicts and counterplanning. Secondary goals of the POLITICS project include developing a representation for belief systems, investigating cognitive processes such as goal-directed inferencing, and the integration of several types of knowledge representations into a functional system.     

Human and computational question answering

The ability to answer questions about a text is the strongest possible demonstration of text comprehension. The question-answering problems that arise in a story-understanding system are discussed. Some solutions are described and illustrated by a computer program, which reads stories, and answers questions.     

Induction of augmented transition networks

LAS is a program that acquires augmented transition network (ATN) grammars. It requires as data sentences of the language and semantic network representatives of their meaning. In acquiring the ATN grammars, it induces the word classes of the language, the rules of formation for sentences, and the rules mapping sentences onto meaning. The induced ATN grammar can be used both for sentence generation and sentence comprehension. Critical to the performance of the program are assumptions that it makes about the relation between sentence structure and surface structure (the graph deformation condition), about when word classes may be formed and when ATN networks may be merged, and about the structure of noun phrases. These assumptions seem to be good heuristics which are largely true for natural languages although they would not be true for many nonnatural languages. Provided these assumptions are satisfied LAS seems capable of learning any context-free language.     

Self- and other regulation during the infancy period

The “other regulation” views of Lev Vygotsky and of Jerome Bruner are contrasted with Jean Piaget's self-regulatory model of infant development. Examples of adult behavior in Piaget's writings and in mother-infant interactions suggest that adults perform behaviors which are analogous to Piaget's type a and b self-regulation. Data from infant games are provided to illustrate the processes by which mothers regulate the environments for their infants and the consequences of such maternal regulation for infant development.     

Planning and acting

A new theory of problem solving is presented, which embeds problem solving in the theory of action; in this theory, a problem is just a difficult action. Making this work requires a sophisticated language for-talking about plans and their execution. This language allows a broad range of types of action, and can also be used to express rules for choosing and scheduling plans. To ensure flexibility, the problem solver consists of an interpreter driven by a theorem prover which actually manipulates formulas of the language. Many examples of the use of the system six given. including an extended treatment of the world of blocks. Limitations and extensions of the system are discussed at length. It is concluded that a rule-based problem solver is necessary and feasible, but that much more work remains to be done on the underlying theory of planning and acting.