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Intelligent Algorithms in the Modern Information Society: Adaptive Systems Operating in a Changing Environment

Explore the concepts of intelligent algorithms in the modern information society, focusing on adaptive systems that interact with and evolve alongside their environment. Understand the differences between traditional algorithms and intelligent algorithms, emphasizing the continuous input and adaptive nature of the latter. Discover how these algorithms learn, predict reactions, and adapt to changing environments to enhance efficiency and effectiveness.

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Intelligent Algorithms in the Modern Information Society: Adaptive Systems Operating in a Changing Environment

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Presentation Transcript

  1. IPA Herfstdagen 2004 Intelligent Algorithms Introduction Mark de Berg TU Eindhoven

  2. IPA Herfstdagen 2004: Intelligent Algorithms The modern information society: integrated or interconnected systems operating in and interacting with a changing environment IPA agenda 2002 — 2006: • Intelligent Algorithms • Security • Networked embedded systems • Compositional programming methods

  3. IPA Herfstdagen 2004: Intelligent Algorithms Traditional algorithms • single shot (operates at discrete times) • unaware of and not interacting with environment • static: behavior is fixed Intelligent algorithms • always on (operates continuously) • aware of and interacts with environment • adaptive: behavior changes over time environment environment algorithm algorithm output input

  4. environment algorithm IPA Herfstdagen 2004: Intelligent Algorithms how to deal with continuous input? how to quantify efficiency? Intelligent algorithms • always on • aware • adaptive need to understand and model the environment need to predict reactions of the environment adapt to changing environment need to learn from results of previous actions

  5. IPA Herfstdagen 2004: Intelligent Algorithms how to deal with continuous input? how to quantify efficiency? understand and model environment understand and model environment • always on • aware • adaptive predict reactions of the environment predict reactions of the environment adapt to changing environment learn from results learn from results PROGRAM HERFSTDAGEN Monday • learning in robots, agents, and homes Tuesday • ambient intelligence • recommender systems • quality of experience • bio-informatics  data mining

  6. IPA Herfstdagen 2004: Intelligent Algorithms how to deal with continuous input? how to quantify efficiency? understand and model environment understand and model environment • always on • aware • adaptive predict reactions of the environment predict reactions of the environment adapt to changing environment adapt to changing environment learn from results PROGRAM HERFSTDAGEN Wednesday • data mining • ad-hoc and sensor networking SOCIAL EVENT Thursday • agents in economic games Friday • human-algorithm interaction • semantic web

  7. IPA Herfstdagen 2004: Intelligent Algorithms ENJOY!

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