Economic Development and the Death of the Free Market

culture development energy evolution free market hierarchy multilevel selection power socialityAccording to neoclassical economics, the most efficient way to organize human activity is to use the free market. By stoking self interest, the theory claims, individuals can benefit society. This idea, however, conflicts with the evolutionary theory of multilevel selection, which proposes that rather than stoke individual self interest, successful groups must suppress it. Which theory better describes how human societies develop? I seek to answer this question by studying the opposite of the market: namely hierarchy. I find evidence that as human societies develop, they turn increasingly to hierarchical organization. Yet they do so, paradoxically, at the same time that the language of free markets becomes more common, and culture becomes more individualistic. This evidence, I argue, contradicts free-market theory, but only if we treat it as a scientific doctrine. If instead we treat free-market theory as an ideology, the pieces come together. Free-market thinking, I speculate, may stoke the formation of hierarchy by cloaking power in the language of ‘freedom’

The Impact of Individual Expertise and Public Information on Group Decision-Making

In this open-access-book the author concludes that expertise could be the key factor for global and interconnected problems. Experimental results have shown that expertise was a stronger predictor than public information regarding change in behavior and strategy adaption. Identifying non-routine problem-solving experts by efficient online assessments could lead to less volatile system performance, from which all decision-makers could potentially profit

Episodic Memory for Cognitive Robots in Dynamic, Unstructured Environments

Elements from cognitive psychology have been applied in a variety of ways to artificial intelligence. One of the lesser studied areas is in how episodic memory can assist learning in cognitive robots. In this dissertation, we investigate how episodic memories can assist a cognitive robot in learning which behaviours are suited to different contexts. We demonstrate the learning system in a domestic robot designed to assist human occupants of a house. People are generally good at anticipating the intentions of others. When around people that we are familiar with, we can predict what they are likely to do next, based on what we have observed them doing before. Our ability to record and recall different types of events that we know are relevant to those types of events is one reason our cognition is so powerful. For a robot to assist rather than hinder a person, artificial agents too require this functionality. This work makes three main contributions. Since episodic memory requires context, we first propose a novel approach to segmenting a metric map into a collection of rooms and corridors. Our approach is based on identifying critical points on a Generalised Voronoi Diagram and creating regions around these critical points. Our results show state of the art accuracy with 98% precision and 96% recall. Our second contribution is our approach to event recall in episodic memory. We take a novel approach in which events in memory are typed and a unique recall policy is learned for each type of event. These policies are learned incrementally, using only information presented to the agent and without any need to take that agent off line. Ripple Down Rules provide a suitable learning mechanism. Our results show that when trained appropriately we achieve a near perfect recall of episodes that match to an observation. Finally we propose a novel approach to how recall policies are trained. Commonly an RDR policy is trained using a human guide where the instructor has the option to discard information that is irrelevant to the situation. However, we show that by using Inductive Logic Programming it is possible to train a recall policy for a given type of event after only a few observations of that type of event

LMX Differentiation and Group Outcomes: A Framework and Review Drawing on Group Diversity Insights

In this review, we address inconsistencies and a lack of clarity in the study of leader-member exchange (LMX) differentiation and group outcomes. We do so by drawing on another highly vis- ible group dispersion literature in the management domain, group diversity, based on the recogni- tion that LMX quality is a characteristic on which group members vary. Utilizing insights from Harrison and Klein’s typology of group diversity constructs, we introduce a framework that specifies the meaning and shape of three variations of differentiated leader-member relationships in groups and connects each construct with implications in terms of theorizing and measurement. Specifically, our framework conceptualizes LMX differentiation as LMX separation (dispersion in LMX relationships as disagreement or opposition regarding an opinion, perception, or position), LMX variety (dispersion in LMX relationships as distinctiveness in kind, source, or category), and LMX disparity (dispersion in LMX relationships as inequality in concentration of valued social assets or resources). We then apply this framework to conduct a systematic review of the LMX differentiation literature with particular attention to alignment among a study’s descriptions of the construct, application of theory, expected group outcomes, and construct measurement. Finally, we offer recommendations for future research and for applying our framework to enhance reli- ability, validity, and generalizability in studies of LMX differentiation and group outcomes

Organizational culture, conflict management and organizational commitment in Hong Kong construction industry

Includes bibliographical references (p. 143-149).Thesis (B.Sc)--University of Hong Kong, 2010.published_or_final_versio

The Impact of Individual Expertise and Public Information on Group Decision-Making

In this open-access-book the author concludes that expertise could be the key factor for global and interconnected problems. Experimental results have shown that expertise was a stronger predictor than public information regarding change in behavior and strategy adaption. Identifying non-routine problem-solving experts by efficient online assessments could lead to less volatile system performance, from which all decision-makers could potentially profit

Against Bipolar Black Masculinity: Intersectionality, Assimilation, Identity Performance, and Hierarchy

In this article, Professor Frank Rudy Cooper contends that popular representations of heterosexual black men are bipolar. Those images alternate between a Bad Black Man who is crime-prone and hypersexual and a Good Black Man who distances himself from blackness and associates with white norms. The threat of the Bad Black Man label provides heterosexual black men with an assimilationist incentive to perform our identities consistent with the Good Black Man image. The reason for bipolar black masculinity is that it helps resolve the white mainstream\u27s post-civil rights anxiety. That anxiety results from the conflict between the nation\u27s relatively recent determination that some black men merit inclusion into the mainstream and its longer-standing and ongoing belief that most black men should be excluded. Bipolar black masculinity addresses that anxiety by clearly demarcating which black men merit inclusion - only those who fit the assimilationist ideal. Bipolar depictions justify the status quo of the exclusion of most black men into jail or the lower-classes and the inclusion of only a token few white-acting black men into the mainstream. He draws his conclusions by utilizing Critical Race Feminism\u27s intersectionality theory - analysis of the interplay between race and gender narratives. Intersectionality theory is usually applied to the multiply subordinated, such as women of color, rather than the singly subordinated, such as middle-class heterosexual black men. Extending intersectionality theory to heterosexual black men is justifiable when we consider the shared interests of the multiply and singly subordinated in defeating the Western epistemological system of the scaling of bodies. The scaling of bodies is the assumption that we must rank identity characteristics against a norm and organize society according to those hierarchies. Bipolar black masculinity seeks to seduce heterosexual black men into accepting the right to subordinate others as compensation for our own subordination. If heterosexual black men are to disrupt bipolar black masculinity, we must refuse to accept the right to subordinate others and construct an antihierarchical black masculinity

Planning multisentential English text using communicative acts

The goal of this research is to develop explanation presentation mechanisms for knowledge based systems which enable them to define domain terminology and concepts, narrate events, elucidate plans, processes, or propositions and argue to support a claim or advocate action. This requires the development of devices which select, structure, order and then linguistically realize explanation content as coherent and cohesive English text. With the goal of identifying generic explanation presentation strategies, a wide range of naturally occurring texts were analyzed with respect to their communicative sttucture, function, content and intended effects on the reader. This motivated an integrated theory of communicative acts which characterizes text at the level of rhetorical acts (e.g., describe, define, narrate), illocutionary acts (e.g., inform, request), and locutionary acts (e.g., ask, command). Taken as a whole, the identified communicative acts characterize the structure, content and intended effects of four types of text: description, narration, exposition, argument. These text types have distinct effects such as getting the reader to know about entities, to know about events, to understand plans, processes, or propositions, or to believe propositions or want to perform actions. In addition to identifying the communicative function and effect of text at multiple levels of abstraction, this dissertation details a tripartite theory of focus of attention (discourse focus, temporal focus, and spatial focus) which constrains the planning and linguistic realization of text. To test the integrated theory of communicative acts and tripartite theory of focus of attention, a text generation system TEXPLAN (Textual EXplanation PLANner) was implemented that plans and linguistically realizes multisentential and multiparagraph explanations from knowledge based systems. The communicative acts identified during text analysis were formalized as over sixty compositional and (in some cases) recursive plan operators in the library of a hierarchical planner. Discourse, temporal, and spatial focus models were implemented to track and use attentional information to guide the organization and realization of text. Because the plan operators distinguish between the communicative function (e.g., argue for a proposition) and the expected effect (e.g., the reader believes the proposition) of communicative acts, the system is able to construct a discourse model of the structure and function of its textual responses as well as a user model of the expected effects of its responses on the reader's knowledge, beliefs, and desires. The system uses both the discourse model and user model to guide subsequent utterances. To test its generality, the system was interfaced to a variety of domain applications including a neuropsychological diagnosis system, a mission planning system, and a knowledge based mission simulator. The system produces descriptions, narrations, expositions, and arguments from these applications, thus exhibiting a broader range of rhetorical coverage than previous text generation systems