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Josh C Bongard Curriculum Vitae
Josh C Bongard Curriculum Vitae E428 Innovation Hall University of Vermont, Burlington, VT 05405 Personal website: jbongard.github.io Lab website: www.meclab.org Twitter: @DoctorJosh [email protected] Google Scholar Profile RESEARCH There are two main thrusts in my research group: evolutionary robotics and machine science. STATEMENT In our evolutionary robotics work, our long-term goal is to enable increasingly large numbers of non-experts to direct the evolution of increasingly complex, capable, and autonomous machines to perform a widening array of difficult tasks. This involves work in theoretical biology: what mechanisms from biological evolution must be incorporated into an evolutionary robotics system to increase its evolvability? It involves work in embodied cognition: how does one spread ‘computation’ out across not only the neural controller of the machine, but also its morphology? It involves work in computational neuroscience: what kinds of neural models should be instantiated in our evolving robots? Finally, our work has psychological and philosophical implications: if a robot evolves that exhibits the behavioral manifestations of high-level cognitive competencies such as self-awareness, how can we determine whether a robot actually possesses, rather than just simulates, that competency? In our work on machine science, we attempt to automate as best we can all aspects of the scientific process: hypothesis generation, selection of phenomenon to measure, experimental design, and data collection. (Machine learning, in contrast, only focuses on hypothesis generation.) My overall strategy is to select generally high-risk, high-reward research questions that, if validated, are likely to change our thinking about seemingly obvious approaches, such as focusing only on control, rather than both morphology and control, in robotics. -
Xivth International Conference on Parallel Problem Solving from Nature
XIVth International Conference on Parallel Problem Solving from Nature Conference Booklet Overview: Workshops and Tutorials Saturday 17 Sept Prestonfield Holyrood Salisbury Duddingston 0930-1030 Registration 1030-1100 Coffee in foyer Luigi Malago : A Bridge Mike Preuss, Michael Julian Miller, Patricia between Optimization G. Epitropakis : Ryser-Welch : Graph- 1100-1230 over Manifolds and Advances on Multi- based and Cartesian Evolutionary modal optimization Genetic Programming Computation 1230-1400 lunch Nadarajen Veerapen, Dimo Brockhoff, Tobias JJ Merelo : Wagner : Evolutionary Implementing 1400-1530 Gabriela Ochoa : Landscape-Aware Multiobjective evolutionary algorithms Heuristic Search Optimization in the cloud 1530-1545 coffee in foyer Giovanni Squillero, Alberto Tonda : Stjepan Picek : Promoting Diversity in Evolutionary 1545-1715 Evolutionary Computation in Optimization: Why and Cryptography How Sunday 18 September Prestonfield Holyrood Salisbury Duddingston Carlos Fonseca, Andreia Guerreiro : Darrell Whitley : Gray The Attainment 0930-1045 Box Optimization in Function Approach to Theory Performance Ahmed Kheiri, Rhyd Mike Preuss, Michael Evaluation in EMO Lewis, Ender Ozcan : G. Epitropakis, 1045-1100 Natural Computing in coffee in foyer Xiaodong Li : Advances Scheduling and in Multi-modal Timetabling Optimization Enrique Alba : Benjamin Doerr : 1100-1230 Intelligent Systems for Theory of evolutionary Smart Cities computation 1230-1400 lunch Jacqueline Heinerman, Per Kristian Lehre, Gusz Eiben, Evert Pietro Oliveto : Nelishia -
ADAPT – UNIZH Past-Present
ADAPT – UNIZH Past-Present Morphology, Materials, and Control “Developmental Robotics” Rolf Pfeifer, Gabriel Gomez, Martin Krafft, Geoff Nitschke, NN Artificial Intelligence Laboratory Department of Information Technology University of Zurich Switzerland © Rolf Pfeifer Artificial Intelligence Laboratory Department of Information Technology Director PhD students Rolf Pfeifer David Andel Josh Bongard University of Zurich Post-docs Simon Bovet Daniel Bisig Raja Dravid Switzerland Peter Eggenberger Miriam Fend Hansruedi Früh Andreas Fischer Charlotte Hemelrijk Gabriel Gomez Lorenz Gygax Visitors Verena Hafner Hiroshi Yokoi (visiting prof.) Fumiya Iida Chris Jones Pascal Kaufmann Robert König Martin Krafft Thomas Uehlinger Hanspeter Kunz Jilles Vreeken Lukas Lichtensteiger Noel Verdurmen Massimiliano Lungarella Kojiro Matsushita Staff Geoff Nitschke Erina Kishida Chandana Paul Rafael Schwarzmann Dale Thomas Clausdia Wirth Jan Wantia © Rolf Pfeifer Contents • Introductory comments • Zurich AI Lab research overview • The synthetic methodology • Embodiment – illustrations • A hard problem in cognitive science: perception in the real world • The evolution of intelligence: morphogenesis • The „Zen of robot programming“ © Rolf Pfeifer Contents • Introductory comments • Zurich AI Lab research overview • The synthetic methodology • Embodiment – illustrations • A hard problem in cognitive science: perception in the real world • The evolution of intelligence: morphogenesis • The „Zen of robot programming“ © Rolf Pfeifer The cognitivistic paradigm cognition