Pleasure as self-discovery

This paper uses readings of two classic autobiographies, Edmund Gosse’s Father & Son and John Stuart Mill’s Autobiography, to develop a distinctive answer to an old and central question in value theory: What role is played by pleasure in the most successful human life? A first section defends my method. The main body of the paper than defines and rejects voluntarist, stoic, and developmental hedonist lessons to be taken from central crises in my two subjects’ autobiographies, and argues for a fourth, diagnostic lesson: Gosse and Mill perceive their individual good through the medium of pleasure. Finally, I offer some speculative moral psychology of human development, as involving the waking, perception, management, and flowering of generic and individual capacities, which I suggest underlies Gosse and Mill’s experiences. The acceptance of one’s own unchosen nature, discovered by self-perceptive pleasure in the operation of one’s nascent capacities, is the beginning of a flourishing adulthood in which that nature is fully developed and expressed

A Taxonomy of Self-configuring Service Discovery Systems

We analyze the fundamental concepts and issues in service discovery. This analysis places service discovery in the context of distributed systems by describing service discovery as a third generation naming system. We also describe the essential architectures and the functionalities in service discovery. We then proceed to show how service discovery fits into a system, by characterizing operational aspects. Subsequently, we describe how existing state of the art performs service discovery, in relation to the operational aspects and functionalities, and identify areas for improvement

Self-healing topology discovery protocol for software defined networks

“© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://ieeexplore.ieee.org/document/8319433/”This letter presents the design of a self-healing protocol for automatic discovery and maintenance of the network topology in Software Defined Networks (SDN). The proposed protocol integrates two enhanced features (i.e. layer 2 topology discovery and autonomic fault recovery) in a unified mechanism. This novel approach is validated through simulation experiments using OMNET++. Obtained results show that our protocol discovers and recovers the control topology efficiently in terms of time and message load over a wide range of generated networks.Peer ReviewedPostprint (author's final draft

ETS (Efficient, Transparent, and Secured) Self-healing Service for Pervasive Computing Applications

To ensure smooth functioning of numerous handheld devices anywhere anytime, the importance of self-healing mechanism cannot be overlooked. Incorporation of efficient fault detection and recovery in device itself is the quest for long but there is no existing self-healing scheme for devices running in pervasive computing environments that can be claimed as the ultimate solution. Moreover, the highest degree of transparency, security and privacy attainability should also be maintained. ETS Self-healing service, an integral part of our developing middleware named MARKS (Middleware Adaptability for Resource discovery, Knowledge usability, and Self-healing), holds promise for offering all of those functionalities

Economic Development as Self-Discovery

In the presence of uncertainty about what a country can be good at producing, there can be great social value to discovering costs of domestic activities because such discoveries can be easily imitated. We develop a general-equilibrium framework for a small open economy to clarify the analytical and normative issues. We highlight two failures of the laissez-faire outcome: there is too little investment and entrepreneurship ex ante, and too much production diversification ex post. Optimal policy consists of counteracting these distortions: to encourage investments in the modern sector ex ante, but to rationalize production ex post. We provide some informal evidence on the building blocks of our model.

Developing a practical guide for teaching histology: an evaluation of the didactic components

The Didactic Guide is a valuable tool complementing and making learning more dynamic. It is done using creative didactic strategies that simulate the presence of the tutor and generate a dialogue in order to offer students different possibilities to improve their understanding and self-discovery learning.This way the student is the protagonist of his own learning process. In this context, is highly important to consider the self discovery learning as a goal facilitating significant learning. The use of practical guides enables students to manage their own time, goals, techniques, contents and evaluation. In medical histology teaching several models of didactic guides could be use, and they normally include numerous activities, text, questionnaires, pictures, and drawings that may enhance the effectiveness of this tool in the learning process. In this work we have evaluated the usefulnes of different sections of a histology didactic guide in order to determine the key sections that enhance the learning process in human histology. For this purpose, a practical histology guide was designed with different sections: message text, theoretical text, objectives, drawings, pictures, clinical cases, games, blank spaces for self notes and drawing and final self evaluation questions. First, a simple questionnaire was applied in 90 students enrolled in histology practical seccions to analyze the student´s perceptions and preferences related to the histology guide. Finally, for all questionnaires average results and standard deviations were calculated for each option and all participants, as well for each gender, separately. Comparisons were done for drawings vs drawing blank spaces, teoric content vs notes blank space, drawings vs pictures and for each gender separately using Mann-Whitney non-parametrical test. Our findings revealed that visual strategies such as images and pictures were considered to be more useful for learning histology in the practical session. Similary, the students rated the self evaluation questions and blank spaces for self notes and drawing to be more attractive to the students. However, texts with theoretical information, messages, objectives, and clinical cases revealed to be less useful for the students in the learning process of medical histology. Moreover, statistically significant differences between theoretical content vs notes blank space was observed. All these results point out the importance of including pictures and drawings in the practical guide accompained of blank spaces that allow the development of creativity and autonomy that lead the students into a self discovery learning. Interestingly the students do not appreciate the presence of theoretical background in the practical guide as relevant information for their academic formation in the practical session

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Intrinsically motivated spontaneous exploration is a key enabler of autonomous lifelong learning in human children. It enables the discovery and acquisition of large repertoires of skills through self-generation, self-selection, self-ordering and self-experimentation of learning goals. We present an algorithmic approach called Intrinsically Motivated Goal Exploration Processes (IMGEP) to enable similar properties of autonomous or self-supervised learning in machines. The IMGEP algorithmic architecture relies on several principles: 1) self-generation of goals, generalized as fitness functions; 2) selection of goals based on intrinsic rewards; 3) exploration with incremental goal-parameterized policy search and exploitation of the gathered data with a batch learning algorithm; 4) systematic reuse of information acquired when targeting a goal for improving towards other goals. We present a particularly efficient form of IMGEP, called Modular Population-Based IMGEP, that uses a population-based policy and an object-centered modularity in goals and mutations. We provide several implementations of this architecture and demonstrate their ability to automatically generate a learning curriculum within several experimental setups including a real humanoid robot that can explore multiple spaces of goals with several hundred continuous dimensions. While no particular target goal is provided to the system, this curriculum allows the discovery of skills that act as stepping stone for learning more complex skills, e.g. nested tool use. We show that learning diverse spaces of goals with intrinsic motivations is more efficient for learning complex skills than only trying to directly learn these complex skills

Resistance-gene-directed discovery of a natural-product herbicide with a new mode of action.

Bioactive natural products have evolved to inhibit specific cellular targets and have served as lead molecules for health and agricultural applications for the past century1-3. The post-genomics era has brought a renaissance in the discovery of natural products using synthetic-biology tools4-6. However, compared to traditional bioactivity-guided approaches, genome mining of natural products with specific and potent biological activities remains challenging4. Here we present the discovery and validation of a potent herbicide that targets a critical metabolic enzyme that is required for plant survival. Our approach is based on the co-clustering of a self-resistance gene in the natural-product biosynthesis gene cluster7-9, which provides insight into the potential biological activity of the encoded compound. We targeted dihydroxy-acid dehydratase in the branched-chain amino acid biosynthetic pathway in plants; the last step in this pathway is often targeted for herbicide development10. We show that the fungal sesquiterpenoid aspterric acid, which was discovered using the method described above, is a sub-micromolar inhibitor of dihydroxy-acid dehydratase that is effective as a herbicide in spray applications. The self-resistance gene astD was validated to be insensitive to aspterric acid and was deployed as a transgene in the establishment of plants that are resistant to aspterric acid. This herbicide-resistance gene combination complements the urgent ongoing efforts to overcome weed resistance11. Our discovery demonstrates the potential of using a resistance-gene-directed approach in the discovery of bioactive natural products

Awe and Wonder in Scientific Practice: Implications for the Relationship Between Science and Religion

This paper examines the role of awe and wonder in scientific practice. Drawing on evidence from psychological research and the writings of scientists and science communicators, I argue that awe and wonder play a crucial role in scientific discovery. They focus our attention on the natural world, encourage open-mindedness, diminish the self (particularly feelings of self-importance), help to accord value to the objects that are being studied, and provide a mode of understanding in the absence of full knowledge. I will flesh out implications of the role of awe and wonder in scientific discovery for debates on the relationship between science and religion. Abraham Heschel argued that awe and wonder are religious emotions because they reduce our feelings of self-importance, and thereby help to cultivate the proper reverent attitude towards God. Yet metaphysical naturalists such as Richard Dawkins insist that awe and wonder need not lead to any theistic commitments for scientists. The awe some scientists experience can be regarded as a form of non-theistic spirituality, which is neither a reductive naturalism nor theism. I will attempt to resolve the tension between these views by identifying some common ground

Curbing domestic violence: instantiating C-K theory with formal concept analysis and emergent self organizing maps.

In this paper we propose a human-centered process for knowledge discovery from unstructured text that makes use of Formal Concept Analysis and Emergent Self Organizing Maps. The knowledge discovery process is conceptualized and interpreted as successive iterations through the Concept-Knowledge (C-K) theory design square. To illustrate its effectiveness, we report on a real-life case study of using the process at the Amsterdam-Amstelland police in the Netherlands aimed at distilling concepts to identify domestic violence from the unstructured text in actual police reports. The case study allows us to show how the process was not only able to uncover the nature of a phenomenon such as domestic violence, but also enabled analysts to identify many types of anomalies in the practice of policing. We will illustrate how the insights obtained from this exercise resulted in major improvements in the management of domestic violence cases.Formal concept analysis; Emergent self organizing map; C-K theory; Text mining; Actionable knowledge discovery; Domestic violence;