Computational understanding and manipulation of symmetries

Attila Egri-Nagy, Chrystopher L Nehaniv, "Computational Understanding and Manipulation of Symmetries", in Chalup S. K., Blair A. D., Randall M. (Eds) Artificial Life and Computational Intelligence ACALCI, First Australasian Conference, Newcastle, NSW, Australia, February 5-7 2015, Proceedings, Lecture Notes in Computer Science, Vol. 8955, 2015 © Springer International Publishing Switzerland 2015 Final, published version of this paper is available online via doi: 10.1007/978-3-319-14803-8_2For natural and artificial systems with some symmetry structure, computational understanding and manipulation can be achieved without learning by exploiting the algebraic structure. This algebraic coordinatization is based on a hierarchical (de)composition method. Here we describe this method and apply it to permutation puzzles. Coordinatization yields a structural understanding, not just solutions for the puzzles. In the case of the Rubik’s Cubes, different solving strategies correspond to different decompositions

Embodied Cognitive Science of Music. Modeling Experience and Behavior in Musical Contexts

Recently, the role of corporeal interaction has gained wide recognition within cognitive musicology. This thesis reviews evidence from different directions in music research supporting the importance of body-based processes for the understanding of music-related experience and behaviour. Stressing the synthetic focus of cognitive science, cognitive science of music is discussed as a modeling approach that takes these processes into account and may theoretically be embedded within the theory of dynamic systems. In particular, arguments are presented for the use of robotic devices as tools for the investigation of processes underlying human music-related capabilities (musical robotics)

Developmental Bootstrapping of AIs

Although some current AIs surpass human abilities in closed artificial worlds such as board games, their abilities in the real world are limited. They make strange mistakes and do not notice them. They cannot be instructed easily, fail to use common sense, and lack curiosity. They do not make good collaborators. Mainstream approaches for creating AIs are the traditional manually-constructed symbolic AI approach and generative and deep learning AI approaches including large language models (LLMs). These systems are not well suited for creating robust and trustworthy AIs. Although it is outside of the mainstream, the developmental bootstrapping approach has more potential. In developmental bootstrapping, AIs develop competences like human children do. They start with innate competences. They interact with the environment and learn from their interactions. They incrementally extend their innate competences with self-developed competences. They interact and learn from people and establish perceptual, cognitive, and common grounding. They acquire the competences they need through bootstrapping. However, developmental robotics has not yet produced AIs with robust adult-level competences. Projects have typically stopped at the Toddler Barrier corresponding to human infant development at about two years of age, before their speech is fluent. They also do not bridge the Reading Barrier, to skillfully and skeptically draw on the socially developed information resources that power current LLMs. The next competences in human cognitive development involve intrinsic motivation, imitation learning, imagination, coordination, and communication. This position paper lays out the logic, prospects, gaps, and challenges for extending the practice of developmental bootstrapping to acquire further competences and create robust, resilient, and human-compatible AIs.Comment: 102 pages, 29 figure

Tartu Ülikooli toimetised. Tööd semiootika alalt. 1964-1992. 0259-4668

http://www.ester.ee/record=b1331700*es

The social role of AI advisers

Artificial Intelligence (AI) profoundly affects how people communicate, work, and perceive the world. While autonomous AI systems are the focal point in societal and academic discussions, advisory AI systems, which influence human decisions but don't undertake independent actions, often remain unexplored. Examples range from automated purchase recommendations to medical diagnoses. This dissertation seeks to understand what advisory AI systems truly are. Are they capable of autonomous, human-like action? Or can they be reduced to inert tools? And what happens when advisory AI systems are closely linked with human perception, especially through Augmented Reality and sensory augmentation? Does their ontological status change? This dissertation concludes that, regardless of their implementation, advisory AI systems occupy an ontological status between tools and humans. They are more than just tools but less than humans.Künstliche Intelligenz (KI) beeinflusst massiv, wie Menschen kommunizieren, arbeiten und die Welt wahrnehmen. Während autonome KI-Systeme gesellschaftlich und akademisch im Fokus stehen, bleiben beratende KI-Systeme, die menschliche Entscheidungen beeinflussen, aber keine eigenständige Handlung übernehmen, oft unerforscht. Beispiele reichen von automatisierten Kaufempfehlungen bis hin zu medizinischen Diagnosen. Die vorliegende Dissertation untersucht, was beratenden KI-Systeme wirklich sind. Sind sie zu eigenständiger, menschenähnlicher Handlung fähig? Oder lassen sie sich auf handlungsunfähige Werkzeuge reduzieren? Und was passiert, wenn beratende KI Systeme eng mit der menschlichen Wahrnehmung gekoppelt werden, insbesondere durch Augmented Reality und sensorische Augmentation? Verändert sich ihr ontologischer Status? Die vorliegende Dissertation schlussfolgert, dass unabhängig von Ihrer Implementation beratende KI-Systeme einen ontologischen Status zwischen Werkzeugen und Menschen einnehmen. Sie sind also mehr als nur Werkzeuge, aber weniger als Menschen. Louis Longin ist wissenschaftlicher Mitarbeiter am Lehrstuhl für Philosophie des Geistes an der Ludwig-Maximilians-Universität München, wo er 2023 mit der vorliegenden Dissertation promoviert wurde. Seinem Interesse gilt der wachsende Einfluss der Künstlichen Intelligenz auf den menschlichen Nutzer, besonders in den Bereichen der sozialen Interaktion, Ethik und sensorischen Augmentation

Empirical modelling for participative business process reengineering

The purpose of this thesis is to introduce a new broad approach to computing - Empirical Modelling (EM) - and to propose a way of applying this approach for system development so as to avoid the limitations of conventional approaches and integrate system development with business process reengineering (BPR). Based on the concepts of agency, observable and dependency, EM is an experiencebased approach to modelling with computers in which the modeller interacts with an artefact through continuous observations and experiments. It is a natural way of working for business process modelling because the modeller is involved in, and takes account of, the real world context. It is also adaptable to a rapidly changing environment as the computer-based models serve as creative artefacts with which the modeller can interact in a situated and open-ended manner. This thesis motivates and illustrates the EM approach to new concepts of participative BPR and participative process modelling. That is, different groups of people, with different perceptions, competencies and requirements, can be involved during the process of system development and BPR, rather than just being involved at an early stage. This concept aims to address the well-known high failure rate of BPR. A framework SPORE (situated process of requirements engineering), which has been proposed to guide the process of cultivating requirements in a situated manner, is extended to participative BPR (i.e. to support many users in a distributed environment). Two levels of modelling are proposed for the integration of contextual understanding and system development. A comparison between EM and object-orientation is also provided to give insight into how EM differs from current methodologies and to point out the potential of EM in system development and BPR. The ISMs (interactive situation models), built using the principles and tools of EM, are used to form artefacts during the modelling process. A warehouse and logistics management system is taken as an illustrative case study for applying this framework

Producing Humans: An Anthropology of Social and Cognitive Robots

In this thesis, I ask how the human is produced in robotics research, focussing specifically on the work that is done to create humanoid robots that exhibit social and intelligent behaviour. Robots, like other technologies, are often presented as the result of the systematic application of progressive scientific knowledge over time, and thus emerging as inevitable, ahistorical, and a-territorial entities. However, as we shall see, the robot’s existence as a recognisable whole, as well as the various ways in which researchers attempt to shape, animate and imbue it ‘human-like’ qualities, is in fact the result of specific events, in specific geographical and cultural locations. Through an ethnographic investigation of the sites in which robotics research takes place, I describe and analyse how, in robotics research, robotics researchers are reflecting, reproducing, producing, and sometimes challenging, core assumptions about what it means to be human. The dissertation draws on three and a half years of ethnographic research across a number of robotics research laboratories and field sites in Ireland, the United Kingdom, and the United States between April 2016 and December 2019. It also includes an investigation of the sites where robotics knowledge is disseminated and evaluated, such as conferences and field test sites. Through a combination of participant and non-participant observation, interviews, and textual analysis, I explore how the robot reveals assumptions about the human, revealing both individual, localised engineering cultures, as well as wider Euro-American imaginaries. In this dissertation, I build on existing ethnographies of laboratory work and technological production, which investigate scientific laboratories as cultural sites. I also contribute to contemporary debates in anthropology and posthumanist theory, which question the foundational assumptions of humanism. While contemporary scholarship has attempted to move beyond the nature/culture binary by articulating a multitude of reconfigurations and boundary negotiations, I argue that this is done by neglecting the body. In order to address this gap, I bring together two complementary conceptual devices. First, I employ the embodiment philosophy of Maurice Merleau-Ponty (2012; 1968) particularly his emphasis on the body as a site of knowing the world. Second, I use the core anthropological concept of the ‘fetish’ as elaborated by William Pietz (1985). By interrogating the robot as ‘fetish’, I elaborate how the robot is simultaneously a territorialised, historicised, personalised, and reified object. This facilitates an exploration of the disparate, and often contradictory nature, of the relations between people and objects. In my thesis, I find many boundary reconfigurations and dissolutions between the human and the robot. However, deviating from the relational ontology dominant in the anthropology of technology, I discover an enduring asymmetry between the human and the robot, with the living body emerging as a durable category that cannot be reasoned away. Thus, my thesis questions how the existing literature might obscure important questions about the category of the human by focusing disproportionately on the blurring and/or blurred nature of human/non-human boundaries. Ultimately, I argue for a collaborative and emergent configuration of the human, and its relationship with the world, that is at once both relational and embodied. This dissertation is structured as follows. An initial introductory chapter is followed by a chapter documenting the literature review and conceptual framework. This is followed by four chapters that correspond to the four aspects of the fetish in Pietz’s model: Historicisation, Territorialisation, Reification and Personalisation. These chapters alternate between scholarly sources and ethnographic data. In Historicisation, using existing scholarship, I trace the history of the robot object, including the continuities and discontinuities that led to its creation, as well as the futures that are implicated in its identity. This is followed by the Territorialisation chapter, in which ethnographic data is used to interrogate the robot’s materiality, as well as the spaces in which it is built, modified, and tested. The next chapter, Reification, considers the robot as a valuable object according to institutions and the productive and ideological systems of Euro-American imaginaries. This chapter integrates ethnographic detail with existing scholarship to focus on contrasts between the dominant image of imminent super-human intelligence and the human interventions and social relationships necessary to produce the illusion of robot autonomy. Finally, the chapter Personalisation brings ethnographic attention to the intensely personal way that the robot-as-fetish is experienced in an encounter with an embodied person, understood through the lens of Merleau-Ponty’s embodiment philosophy. In the final chapter, I draw together the various strands to articulate how understanding the robot as a fetish, underscored by Merleau-Ponty’s embodiment phenomenology, can provide useful resources for developing an alternative understanding of the human in anthropology without dissolving it all together

User-Interface Metaphors in Theory and Practice

User-interface metaphors are a widely used, but poorly understood, technique employed in almost all graphical user-interfaces. Although considerable research has gone into the applications of the technique, little work has been performed on the analysis of the concept itself. In this thesis, user-interface metaphor is defined and classified in considerable detail so as to make it more understandable to those who use it. The theoretical approach is supported by practical exploration of the concepts developed