Causal Dependence Plots

Explaining artificial intelligence or machine learning models is increasingly important. To use such data-driven systems wisely we must understand how they interact with the world, including how they depend causally on data inputs. In this work we develop Causal Dependence Plots (CDPs) to visualize how one variable--an outcome--depends on changes in another variable--a predictor--$\textit{along with any consequent causal changes in other predictor variables}$. Crucially, CDPs differ from standard methods based on holding other predictors constant or assuming they are independent. CDPs make use of an auxiliary causal model because causal conclusions require causal assumptions. With simulations and real data experiments, we show CDPs can be combined in a modular way with methods for causal learning or sensitivity analysis. Since people often think causally about input-output dependence, CDPs can be powerful tools in the xAI or interpretable machine learning toolkit and contribute to applications like scientific machine learning and algorithmic fairness

The Influence of Emotional Intelligence, Competence and Work Environment on Teacher Performance of SMP Kemala Bhayangkari Jakarta

The purpose of this study was to determine the effect of emotional intelligence, competence and work environment toward teacher performance either partially or simultaneously. The object research carreid out to the employee stamp of SMP Kemala Bhayangkari Jakarta. Design research conducted in the preparation of this is quantitative that aims to determine the influence between two or more deeply variables describe or reveal a problem, situation, event or revealing fact as they are deeply and try to find a solution or problems solve. The results showed that Emotional intelligence has positive effect on performance with coefficient value of 0.161. Competence has positive effect on performance with coefficient value of 0.429. Work environment positively influence toward performance with coefficient value equal to 0,262. Adjust R Square value of 0.442. Indicates that emotional intelligence, competence and work environment together contribute 44,2% to performance and the rest of 55,8% influenced by other variable outside this researc

On Arthur Eddington's Theory of Everything

From 1929 to his death in 1944, A. Eddington worked on developing a highly ambitious theory of fundamental physics that covered everything in the physical world, from the tiny electron to the universe at large. His unfinished theory included abstract mathematics and spiritual philosophy in a mix which was peculiar to Eddington but hardly intelligible to other scientists. The constants of nature, which he claimed to be able to deduce purely theoretically, were of particular significance to his project. Although highly original, Eddington's attempt to provide physics with a new foundation had to some extent parallels in the ideas of other British physicists, including P. Dirac and E. A. Milne. Eddington's project was however a grand failure in so far that it was rejected by the large majority of physicists. A major reason was his unorthodox view of quantum mechanics.Comment: 20 pages, 4 figure

Constructing Futures: Outlining a Transhumanist Vision of the Future and the Challenge to Christian Theology of its Proposed Uses of New and Future Developments in Technology

Transhumanists arc committed to re-evaluating the entire human condition and offering proposalsfor transcending mortality, principally by augmenting the human body with mechanical components or by transferring the human mind into intelligent hyper-computers. In this essay, the author\'s methodology is to critique the culture oftranshumanism, arguing, with Barbour, that all technology is tool whose use is determined by the cultural and socialframeworks within which it is utilized. Transhumanism is characterized as morally ambiguous, extremely individualistic, fixated upon health, vitality, and power, ideological, reductionist, and self-deluded. Its proposed use of technology is, thus, highly suspect and deserves a robust theological response

A cognitive architecture for learning in reactive environments

Previous research in machine learning has viewed the process of empirical discovery as search through a space of 'theoretical' terms. In this paper, we propose a problem space for empirical discovery, specifying six complementary operators for defining new terms that ease the statement of empirical laws. The six types of terms include: numeric attributes (such as PV/T); intrinsic properties (such as mass); composite objects (such as pairs of colliding balls); classes of objects (such as acids and alkalis); composite relations (such as chemical reactions); and classes of relations (such as combustion/oxidation). We review existing machine discovery systems in light of this framework, examining which parts of the problem space were, covered by these systems. Finally, we outline an integrated discovery system (IDS) we are constructing that includes all six of the operators and which should be able to discover a broad range of empirical laws

Rethinking Digital Forensics

© IAER 2019In the modern socially-driven, knowledge-based virtual computing environment in which organisations are operating, the current digital forensics tools and practices can no longer meet the need for scientific rigour. There has been an exponential increase in the complexity of the networks with the rise of the Internet of Things, cloud technologies and fog computing altering business operations and models. Adding to the problem are the increased capacity of storage devices and the increased diversity of devices that are attached to networks, operating autonomously. We argue that the laws and standards that have been written, the processes, procedures and tools that are in common use are increasingly not capable of ensuring the requirement for scientific integrity. This paper looks at a number of issues with current practice and discusses measures that can be taken to improve the potential of achieving scientific rigour for digital forensics in the current and developing landscapePeer reviewe