Challenge Problems for a Theory of Degree Multiplication (with partial answer key)

This paper offers a theory of degree multiplication in natural language semantics. Motivation for the development such a theory comes from proportional readings of quantity words and rate expressions such as miles per hour. After laying out a set of ‘challenge problems’ that any good theory of degree multiplication should be able to handle, I set about solving them, borrowing mathematical tools from quantity calculus. These algebraic foundations are integrated into a compositional Montagovian framework, yielding a system that can solve, or partially solve, some of the problems.

Dreams of a Final Theory T

The grander metaphysical schemes popular in Hertz’s era often suppressed conceptual innovation in manifestly unhelpful ways. In counterreaction, Hertz and his colleagues stressed the raw pragmatic advantages of “good theory” considered as a functional whole and rejected the armchair meditations upon individual words characteristic of the metaphysical imperatives they spurned. Rudolf Carnap’s later rejection of all forms of “metaphysics” attempts to broaden these methodological tenets to a wider canvas. In doing so, the notion of an integrated, axiomatizable “theory” became the shaping tenet within our most conception of how the enterprise of “rigorous conceptual analysis” should be prosecuted. Although Carnap hoped to suppress all forms of metaphysics, large and small, through these means, in more recent times, closely allied veins of “theory T thinking” have instead encouraged a revival of grand metaphysical speculation that embodies many of the suppressive doctrines that Hertz’s generation rightly resisted (I have in mind the school of “analytic metaphysics” founded by David Lewis). The proper corrective to these inflated ambitions lies in directly examining the proper sources of descriptive effectiveness in the liberal manner of a multiscalar architecture.

2. IR as an Academic Subject

This chapter examines how thinking about international relations (IR) has evolved since IR became an academic subject around the time of the First World War. The focus is on four established IR traditions: realism, liberalism, International Society, and International Political Economy (IPE). The chapter first considers three major debates that have arisen since IR became an academic subject at the end of the First World War: the first was between utopian liberalism and realism; the second between traditional approaches and behaviouralism; the third between neorealism/neoliberalism and neo-Marxism. There is an emerging fourth debate, that between established traditions and post-positivist alternatives. The chapter concludes with an analysis of alternative approaches that challenge the established traditions of IR, and with a discussion about criteria for good theory in IR.

Mismatching as a tool to enhance algorithmic performances of Monte Carlo methods for the planted clique model

Over-parametrization was a crucial ingredient for recent developments in inference and machine-learning fields. However a good theory explaining this success is still lacking. In this paper we study a very simple case of mismatched over-parametrized algorithm applied to one of the most studied inference problem: the planted clique problem. We analyze a Monte Carlo (MC) algorithm in the same class of the famous Jerrum algorithm. We show how this MC algorithm is in general suboptimal for the recovery of the planted clique. We show however how to enhance its performances by adding a (mismatched) parameter: the temperature; we numerically find that this over-parametrized version of the algorithm can reach the supposed algorithmic threshold for the planted clique problem.

Comparing Theories with the Ising Model of Explanatory Coherence (IMEC)

Theories are among the most important tools of science. Lewin (1943) already noted “[t]here is nothing as practical as a good theory”. Although psychologists discussed problems of theory in their discipline for a long time, weak theories are still widespread in most subfields. One possible reason for this is that psychologists lack the tools to systematically assess the quality of their theories. Thagard (1989) developed a computational model for formal theory evaluation based on the concept of explanatory coherence. However, there are possible improvements to Thagard’s (1989) model and it is not available in software that psychologists typically use. Therefore, we developed a new implementation of explanatory coherence based on the Ising model. We demonstrate the capabilities of this new Ising Model of Explanatory Coherence (IMEC) on several examples from psychology and other sciences. It is also available in the R-package IMEC so that it can help scientists to evaluate the quality of their theories in practice.

PUBLIC GOOD THEORY: A THEORETICAL JUSTIFICATION FOR PERMISSIVE LICENSE TO USE AND RE-USE ORPHAN WORKS

This paper explores the adoption of Paul Samuelson’s Public Good Theory as a theoretical justification for a permissive licensing scheme enabling the use, and re-use orphan works in Malaysia. Orphan works are copyright-protected works with unlocatable or unidentified right holders, and are currently on the rise due to the proliferation of unregistered, anonymous, and abandoned copyright works. The literature denotes the challenges arising from the difficulty faced by potential users in obtaining the permission for creative and innovative use of orphan works as required under Copyright law. Such challenges impede the potential use and re-use of orphan works for the purpose of knowledge dissemination, progress in the arts, preservation and digitisation activities. This paper contributes to the current body of knowledge by canvassing two important issues. The first issue focuses on the challenges faced by potential users to use and re-use orphan works in Malaysia. The second is Paul Samuelson’s Public Good as a theoretical justification for permissive license to use and re-use orphan works. It is anticipated that a legislative reform grounded on Paul Samuelson’s Public Good Theory will spur grassroots innovations, creativity and entrepreneurialism among members of the public. The permissive licensing scheme supports global calls for legislative reform of copyright law to facilitate the use and reuse of orphan works.

Practical Methodological Reform Needs Good Theory

In the face of unreplicable results, statistical anomalies, and outright fraud, introspection and changes in the psychological sciences have taken root. Vibrant reform and metascience movements have emerged. These are exciting developments and may point toward practical improvements in the future. Yet there is nothing so practical as good theory. This article outlines aspects of reform and metascience in psychology that are ripe for an injection of theory, including a lot of excellent and overlooked theoretical work from different disciplines. I review established frameworks that model the process of scientific discovery, the types of scientific networks that we ought to aspire to, and the processes by which problematic norms and institutions might evolve, focusing especially on modeling from the philosophy of science and cultural evolution. We have unwittingly evolved a toxic scientific ecosystem; existing interdisciplinary theory may help us intelligently design a better one.

Information Exchange (IE) Among Multi-Stakeholders for Improving Decision Making

Information Exchange (IE) is an important area of research in Information System (IS), yet there is a lack of theory that explains it. Existing studies usually borrow different theories from other fields to explain IE, but these theories describe the aspects that are associated with IE, not the actual behavior of IE. Additionally, a framework that guides the design of an IE platform to support IE among multiple stakeholders with the purpose of improving the decision-making process does not exist. To address these literature gaps, this dissertation first proposes a theory of Information Exchange (ToIE) to explain IE behavior and its impact on the decision-making process among multi-stakeholders. A qualitative evaluation of ToIE demonstrates that it meets the virtues of a good theory. Second, this dissertation develops an Information Exchange Decision Support (IEDS) framework that can guide the design of IE platforms for multiple stakeholders. The qualitative evaluation shows that the IEDS framework is useful for identifying the stakeholders, specifying the needed information to be exchanged, and maintaining the needed system factors necessary for IE. The IEDS framework is further instantiated to an IE platform named SES-IE. The SES-IE platform is a web-based application that facilitates the information exchange among scholarship organizations, employers, and students, and supports their decision-making process. The SES-IE platform was evaluated using a mixed-methods approach to measure the usability, usefulness, and satisfaction of the system. The successful instantiation of the SES-IE platform shows that the IEDS framework is useful for building an effective IE platform. This dissertation makes theoretical and practical contributions.