Intellectual Agent Ensemble with Professional Competencies, Pattern Recognition and Decision Making

Each competence is exercised by an intellectual agent with a competent functional professional image. Intellectual agents form an ensemble with clever ethical artificial intelligence. The use of an ensemble with intelligent ethical artificial intelligence in various environments is carried out by synergistically adjusting the interaction of intelligent agents based on data from a specific environment obtained by an analytical competent intellectual agent. Modeling holographic processes of the human psyche based on artificial intelligence of machine learning with Fourier transformation using full parametric sequences of necessary and sufficient data of holograms of target objects solves the problem of their unambiguous detection in different environments and in different conditions. An ensemble of intelligent decision-making agents is a cognitive information system that makes a decision based on an objective analysis of available data in difficult situations, in an interactive mode, taking into account performance criteria and resource-time constraints. Decision-making criteria are functionalities that express preferences and allow ranking the quality of decisions. Decisions are made on the basis of rules. Decision rules are a set of logical constructs used to produce a decision based on criteria, data, and knowledge. An ensemble of intellectual agents with professional competencies, pattern recognition and decision-making fully model the abilities of the human psyche

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Clustering Sensitivity Analysis for Gaussian Process Regression Based Solar Output Forecast

Power system operations are becoming more challenging with the increasing penetration of renewable-based resources such as photovoltaic (PV) generation. In this regard, obtaining accurate solar power output forecasts allows a deepening penetration of renewable-based resources in a secure and reliable way. In this paper, we propose a probabilistic framework to predict short-term PV output taking into account the uncertainty of weather data as well as the variability of PV output over time. To this end, we use datasets comprising of meteorological weather data such as temperature, irradiance, zenith, and azimuth and solar power output. We cluster these data in categories and train a Matern 5/2 Gaussian Process Regression model for each cluster. ´More specifically, we cluster the data into one to eight different partitions by making use of the k-means algorithm. In order to identify the optimal number of clusters we use the Elbow and Gap methods. We compare the results obtained for the different number of clusters with the (i) 5-fold cross-validation; and (ii) holding out 30 representative days as test data. The results showed that the optimal number of clusters is four, since in comparison to higher number of clusters the increase in the forecast error was marginal

Essays on Systems Intelligence

In the present volume the emphasis is on the foundational, conceptual, psychological as well as practice-oriented aspects of human intelligence. As is customary with systems intelligence, the essays represent a number of different methodologies, disciplines and topics of interest. In the opening essay, Esa Saarinen and Raimo P. Hämäläinen elaborate on systems intelligence as an original form of human intelligence paying particular attention to the origin of intelligence in the light of infant research. The paper argues for systems intelligence as an integrating framework which complements earlier work on human intelligence. In his three essays, John Rauthmann discusses conceptually and empirically systems intelligence with respect to classical conceptualizations of intelligence and with respect to certain essential psychological themes. His first article studies systems intelligence as a trait and ability, investigating the connections of the construct to previous psychological intelligence literature. In his second contribution, Rauthmann develops a new systemic meta-model of personality. In his third essay, Rauthmann proposes a trait-SI scale for operationalizing the concept. Based on his original proposal, Rauthmann goes on to report what is the first empirical attempt to measure systems intelligence. In his methodologically innovative essay, Kalevi Kilkki creates a social systems map of systems intelligence by presenting and applying a novel web search engine methodology to the construct of systems intelligence. The result is a description of the connections of the notion of systems intelligence with concepts in other disciplines and with some leading scholars in those disciplines. This is followed by an essay by Otso Palonen with a discussion of learning from the perspective of systems intelligence. In their contribution, Ella Rönkkönen and Esa Saarinen take the bold step of applying chemical engineering to an analysis of the Broaden and Build Theory of positive emotions developed by Barbara Fredrickson, and then link Fredrickson’s insights with systems intelligence. Anne Birgitta Pessi uses systems intelligence to analyse volunteerism, presenting a fresh conceptualization of that domain. The final essay by Pia Tikka reflects cinema as an intersubjective neuroscientific experience. The concepts of embodied simulation and the 6 cinema author’s mental workspace simulatorium are discussed in their relation to systems intelligence