Baron assumes that ethical decision-making can be evaluated without specifying more general features of the cognitive system within which it occurs. It is suggested that ethical principles are heuristics employed during goal-oriented action planning. Heuristics are bound to generate suboptimal decisions in some cases. It is rational to replace a particular heuristic only when the cost of associated error exceeds the cost of constructing and installing a more successful alternative.

In this paper, we explore some characteristics of the Information Superhighway and the World Wide Web metaphors in the light of the current developments in information technology. We propose that these characteristics constitute a form of conceptual slippage (often in the form of ‘lexical leakage’), which helps us detect and predict the tacit impact that the currently available information delivery systems are having on human cognition. We argue that the particular language associated with these systems evolves as a direct result (...) of human cognitive adaptation to the demands, resources, and constraints of highly technological environments. It reflects a growing alienation of the users of computerized systems from the physical aspects of the natural environment in which the disseminated information was originally grounded. We believe that a careful investigation of the pragmatic phenomena which are operative when the information media jargon is used is appropriate to the aims of Cognitive Technology. The role of metaphor as a vehicle for self-expression, as mediated by criteria of relevance, is discussed from this perspective. (shrink)

Expert systems have had little impact as computing artifacts. In this paper we argue that the reason for this stems from the underlying assumption of most builders of expert systems that an expert system needs to acquire information and to control the interaction between the human user and itself. We show that this assumption has serious linguistic and usability flaws which diminish the likelihood of producing socially acceptable expert systems. We propose a reversal of this paradigm, for the design of (...) expert systems, by assuming that it is the human user who needs to acquire information and to control the interaction between themselves and the system. (shrink)