Modelling Learning as Modelling

Economists tend to represent learning as a procedure for estimating the parameters of the "correct" econometric model. We extend this approach by assuming that agents specify as well as estimate models. Learning thus takes the form of a dynamic process of developing models using an internal language of representation where expectations are formed by forecasting with the best current model. This introduces a distinction between the form and content of the internal models which is particularly relevant for boundedly rational agents. We propose a framework for such model development which use a combination of measures: the error with respect to past data, the complexity of the model, the cost of finding the model and a measure of the model's specificity The agent has to make various trade-offs between them. A utility learning agent is given as an example

On Horns and Halos: Confirmation Bias and Job Rotation

Confirmation bias, which refers to unintentional and unknowing selectivity in the use of evidence, belongs to the major problems faced by organizations. In this article, we discuss job rotation as a natural solution to this problem. In a nutshell, adopting job rotation provides an organization that is plagued by confirmation bias with a more reliable informational footing upon which to base its decisions. Job rotation, however, also comes with a cost, e.g. a loss of productivity or a disruption of work flows. We study this trade-off and identify conditions under which job rotation and specialization are each optimal.Confirmation Bias, Job Rotation, Work Organization

Ontology-based model abstraction

In recent years, there has been a growth in the use of reference conceptual models to capture information about complex and critical domains. However, as the complexity of domain increases, so does the size and complexity of the models that represent them. Over the years, different techniques for complexity management in large conceptual models have been developed. In particular, several authors have proposed different techniques for model abstraction. In this paper, we leverage on the ontologically well-founded semantics of the modeling language OntoUML to propose a novel approach for model abstraction in conceptual models. We provide a precise definition for a set of Graph-Rewriting rules that can automatically produce much-reduced versions of OntoUML models that concentrate the models’ information content around the ontologically essential types in that domain, i.e., the so-called Kinds. The approach has been implemented using a model-based editor and tested over a repository of OntoUML models

A Task-Based Approach to Organization: Knowledge, Communication and Structure

We bridge a gap between organizational economics and strategy research by developing a task-based approach to analyze organizational knowledge, process and structure, and deriving testable implications for the relation between production and organizational structure. We argue that organization emerges to integrate disperse knowledge and to coordinate talent in production and is designed to complement the limitations of human ability. The complexity of the tasks undertaken determines the optimal level of knowledge acquisition and talent. The relations between tasks, namely, complementarities or substitutabilities and synergies, determine the allocation of knowledge among members of the organization. Communication shapes the relation between individual talent, and governs the organizational process and structure that integrates disperse knowledge to perform tasks more efficiently. Organization structure can also be deliberately designed ex ante to correct bias of individual judgement, the extent to which is dependent on the attributes of tasks. Organization process and the routinized organizational structure are the core of organizational capital, which generates rent and sustains organizational growth. This task-based approach enriches the existing body of organization studies, in particular the knowledge-based theory of the firm and the dynamic capabilities theory.task-based approach, complementarities, tacit knowledge, codifiable knowledge, code,vertical communication, horizontal communication, organizational architecture, decision bias

Designing a CPU model: from a pseudo-formal document to fast code

For validating low level embedded software, engineers use simulators that take the real binary as input. Like the real hardware, these full-system simulators are organized as a set of components. The main component is the CPU simulator (ISS), because it is the usual bottleneck for the simulation speed, and its development is a long and repetitive task. Previous work showed that an ISS can be generated from an Architecture Description Language (ADL). In the work reported in this paper, we generate a CPU simulator directly from the pseudo-formal descriptions of the reference manual. For each instruction, we extract the information describing its behavior, its binary encoding, and its assembly syntax. Next, after automatically applying many optimizations on the extracted information, we generate a SystemC/TLM ISS. We also generate tests for the decoder and a formal specification in Coq. Experiments show that the generated ISS is as fast and stable as our previous hand-written ISS.Comment: 3rd Workshop on: Rapid Simulation and Performance Evaluation: Methods and Tools (2011

Specialized Trial Courts: Concentrating Expertise on Fact

In the absence of a specialized patent trial court with expertise in fact-finding, the Court of Appeals for the Federal Circuit often reviews de novo the many factual questions that pervade patent law. De novo review of fact by an appellate court is problematic. In the area of patent law, as in other areas of law, there are sound institutional justifications for the conventional division of labor that gives trial courts primary responsibility for questions of law. This Article identifies the problems created by de novo appellate review of fact and argues for the creation of a specialized trial court to which the Federal Circuit would feel compelled to defer on questions of fact. It also discusses how such a court would be designed, focusing on the manner in which trial court judges could use the court-appointed advisors to evaluate competing factual claims

Product Development in the World Auto Industry

macroeconomics, auto industry, management efficiency, productivity