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DTSTART;TZID=Europe/Berlin:20200702T160000
DTEND;TZID=Europe/Berlin:20200702T173000
DTSTAMP:20260501T155722
CREATED:20200514T092211Z
LAST-MODIFIED:20240813T105036Z
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SUMMARY:PI Lecture: Thorsten Pachur (SCIoI): Ecologically Rational Decision Making
DESCRIPTION:Ecologically rational decision making \nHow do we make inferences about a world full of uncertainty and given the mind’s natural bounds in computational abilities? I present a perspective according to which the decision maker is equipped with a repertoire of strategies\, containing both simple heuristics and more complex strategies that are adaptive under different ecological and cognitive conditions. I will sketch methodological approaches for studying this “adaptive toolbox” and give an overview of empirical investigations of it. The results suggest that strategy selection in human decision making exploits and is adaptive to both the statistical structure of the environment (e.g.\, redundancy between cues) and internal factors of the decision maker (e.g.\, cognitive abilities\, knowledge). Further\, the use of simple heuristics often seems to occur strategically and efficiently\, implementing bounded and ecological rationality. \nThe Zoom Link will be sent the Monday before the lecture to all our subscribers. (Contact communication@scioi.de for specific questions. We will try to accommodate late link requests where possible)
URL:https://www.scienceofintelligence.de/event/pi-lecture-thorsten-pachur-scioi/
LOCATION:On ZOOM (Contact us for Link)
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DTSTART;TZID=Europe/Berlin:20200709T100000
DTEND;TZID=Europe/Berlin:20200709T110000
DTSTAMP:20260501T155722
CREATED:20200706T111519Z
LAST-MODIFIED:20240813T091903Z
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SUMMARY:Thursday Morning Talk: Leon Sixt (Biorobotics Lab\, FU Berlin): Opportunities and Challenges in Interpetable ML
DESCRIPTION:Abstract: Deep neural networks underlie many state of the art solutions to hard problems in computer vision\, natural language processing or playing Go. Yet\, their power comes with a price. Deep networks transform inputs gradually into outputs\, using many parameters and intermediary activations. Understanding what a network has learned\, how inputs are mapped to outputs\, is inherently difficult. In my talk I will focus on attribution methods\, algorithms that provide an explanation as to which input variables were relevant for the network’s decision. I will present some of my recent work in this field by first showing how attribution methods may fail and then presenting a new method that is based on information bottlenecks. In the remainder of my talk I will discuss the challenges we face in interpretable ML and how it may provide the opportunity to gain insight into the datasets themselves. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-leon-sixt-biorobotics-lab-fu-berlin-opportunities-and-challenges-in-interpetable-ml/
LOCATION:On ZOOM (Contact us for Link)
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DTSTART;TZID=Europe/Berlin:20200716T100000
DTEND;TZID=Europe/Berlin:20200716T110000
DTSTAMP:20260501T155722
CREATED:20200426T180541Z
LAST-MODIFIED:20250604T100050Z
UID:7842-1594893600-1594897200@www.scienceofintelligence.de
SUMMARY:Work-in-Progress Talk: Dimitri Coelho Mollo (SCIoI) & Alfredo Vernazzani (Ruhr Universität Bochum): Saving Representational Formats: A Computational Theory
DESCRIPTION:Abstract \nMost cognitive sciences (including AI) appeal to representations in explaining (or trying to create) systems capable of cognition\, and especially of complex\, intelligent behaviour. In philosophy\, considerable attention has been dedicated to the problem of explaining in scientifically-acceptable ways how representations come to represent what they do. In contrast\, there has been much less effort dedicated to developing theories of representational formats\, i.e. those properties of representations traditionally conceived in terms of dichotomies that oppose the symbolic to the iconic\, the digital to analogue\, and so on. For the most part\, work on representational formats has focused on their distinctive phenomenological features; while philosophers have tended largely to remain vague about formats’ explanatory role in cognitive theories and their computational roles in the cognitive system. \nIn this talk\, we propose a new computation-based theory of representational formats that makes room for a plurality of distinguishable formats across a number of different dimensions — such as density\, continuity\, similarity\, etc. — thus avoiding partial or simplistic dichotomies\, and neatly individuating the nature and role of representational formats in explaining cognition and intelligent behavior. According to our proposal\, representational formats are to be understood primarily in terms of their abstract computational profiles\, that is\, the coarse-grained computational transformations that they allow. In cashing out this computation-based account of representational formats\, we rely on recent advances in understanding the nature of computation in physical systems brought forth by the teleomechanistic view of computation. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/work-in-progress-talk-dimitri-coelho-mollo-scioi-alfredo-vernazzani-ruhr-universitat-bochum-saving-representational-formats-a-computational-theory/
LOCATION:On ZOOM (Contact us for Link)
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