Vicky Prefers Voltaire to Vogue: Obstacles to the Self-actualisation of Gifted Women within Social Systems

Giftedness is characterized by high intellectual capabilities and ambitions, unconventional thinking, and a drive to learn and be creative. We argue that gifted women face specific obstacles that, for many, have precluded their ability to develop their gifts, hindered their educational development and career, and made them feel frustrated and unfulfilled. We analyse testimonies of gifted women that we collected from across the globe to provide concrete evidence of these hurdles, thereby highlighting their struggles, while noting in particular their experiences of shame, guilt, fear and self-doubt. A full understanding of these issues requires a deconstruction of the symbolic paradigm that underpins the social system we live in. As gifted women are by nature drawn to creative, independent, intellectual pursuits, they deviate from the norms imposed by the social system. The resulting negative reactions frequently lead them to believe there is something intrinsically wrong with them. This produces the painful emotion of shame, which potently suppresses self- actualization.


Vicky Prefers Voltaire to Vogue:

Obstacles to the Self-actualisation of Gifted Women within
Social Systems


The Science & Philosophy Of Complexity.  An Interview With Carlos Gershenson

In this episode, Haley interviews research professor and leader of the Self-Organizing Systems Lab at UNAM, Carlos Gershenson. Gershenson discusses findings from his book, Complexity: 5 Questions, which is comprised of “interview style contributions by leading figures in the field of complexity”. He also shares his own perspectives on the past, present and future of complexity science, as well as how philosophy plays a role in the emergence of science.


UrbanSys 2018

Following a series of successful satellites organised at previous ECCS/CCS events, (UrbanNet2013 at ECCS13, CitiNet 2014 at ECCS14, UrbanNet2015 at NetSci 2015, UrbanNet2016 at CCS2016 and UrbanSys2017 at CCS2017), the objective of the UrbanSys2018 satellite of CCS2018 is to create a space for exchanging state-of-the-art results and innovative ideas on how to address the problems and opportunities opened by smart cities through complex systems theory and methodologies. In this sense, we have launched a call for contributions for the satellite. Particular attention will be devoted to new data-driven approaches for improving the planning and management of urban infrastructures, including land use, transportation, energy and tourism planning, to mention some examples.


Space Debris Removal: Learning to Cooperate and the Price of Anarchy

In this paper we study space debris removal from a game-theoretic perspective. In particular we focus on the question whether and how self-interested agents can cooperate in this dilemma, which resembles a tragedy of the commons scenario. We compare centralised and decentralised solutions and the corresponding price of anarchy, which measures the extent to which competition approximates cooperation. In addition we investigate whether agents can learn optimal strategies by reinforcement learning. To this end, we improve on an existing high fidelity orbital simulator, and use this simulator to obtain a computationally efficient surrogate model that can be used for our subsequent game-theoretic analysis. We study both single- and multi-agent approaches using stochastic (Markov) games and reinforcement learning. The main finding is that the cost of a decentralised, competitive solution can be significant, which should be taken into consideration when forming debris removal strategies.



Space Debris Removal: Learning to Cooperate and the Price of Anarchy

Richard Klima, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera and Dario Izzo

Front. Robot. AI, 04 June 2018 |