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1. ieeexplore.ieee.org › document › 972065Challenges for intelligent systems in biology - IEEE Xplore

   ieeexplore.ieee.org › document › 972065

   Intelligent systems research in biology strives to understand how living systems perform difficult tasks routinely (ranging from molecular phenomena such as protein-folding to organism-level phenomena such as cognition). The definition of intelligent systems in biology can lead to hours of debate.

2. www.sciencedirect.com › science › articleAutopoiesis of the artificial: from systems to cognition

   www.sciencedirect.com › science › article

   Aug 1, 2023 · The aim is to assess the advantages and disadvantages of employing autopoiesis in the synthetic (artificial) explanation for biological cognitive systems and to determine if and how the notion of autopoiesis can still be fruitful in this perspective. Previous. Next. Autopoiesis. Biological systems. Artificial intelligence. Cognition.

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4. www.nature.com › articles › s42003/024/06037-4Collective intelligence: A unifying concept for integrating ...

   www.nature.com › articles › s42003/024/06037-4

   Mar 28, 2024 · Biological intelligent systems demonstrate increased ability to achieve their (collective) goals despite obstacles by integrating the individual competencies of their components (which can...

5. openstax.org › books › biology-ap-courses37.1 Ecology for Ecosystems - Biology for AP® Courses - OpenStax

   openstax.org › books › biology-ap-courses

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   An ecosystem is a community of living organisms and their interactions with their abiotic (non-living) environment. Ecosystems can be small, such as the tide pools found near the rocky shores of many oceans, or large, such as the Amazon Rainforest in Brazil (Figure 37.2).

6. link.springer.com › referenceworkentry › 10Intelligent Systems, Introduction to | SpringerLink

   link.springer.com › referenceworkentry › 10

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   As well as improving our capabilities in modeling and simulating systems, it is important to look at how, with the use of intelligent systems, wemight better control the complex systems being modeled.

   • Author: James Hendler

7. secure-media.collegeboard.org › digitalServicesAP Biology ConCePts At A glAnCe - College Board

   secure-media.collegeboard.org › digitalServices

   between biological systems. essential knowledge 3.e.1: Individuals can act on information and communicate it to others. essential knowledge 3.e.2: Animals have nervous systems that detect external and internal signals, transmit and integrate information, and produce responses.

8. People also ask

   How do biological intelligent systems achieve their (collective) goals?

   • Biological intelligent systems demonstrate increased ability to achieve their (collective) goals despite obstacles by integrating the individual competencies of their components (which can perform tasks in their own space without any inkling of the large-scale goals to which they contribute) (c).

   Collective intelligence: A unifying concept for integrating biology

   www.nature.com/articles/s42003-024-06037-4

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   What AP Biology Concepts at a glancebig idea?

   • AP Biology ConCePts At A glAnCeBig ideA 1: The process of evolution drives diversity and unity of life.enduring understanding 1.A: Change in the genetic makeup of a po lation over time is evolution.essential knowledge 1.A.1: Natural selection is major mechanism of evolution.essential knowledge 1.A.2: Natural selection acts on pheno

   AP Biology ConCePts At A glAnCe - College Board

   secure-media.collegeboard.org/digitalServices/pdf/ap/bio-manual/Bio_AppendixC-APBiologyConceptsataGlance.pdf

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   What are some examples of Intelligent Systems?

   • However, despite the strong ties between these many subareas, there were some aspects of intelligent systems left out of theseother topic areas, and this section is provided to cover these. One such example is that of the use of mobile agents as the basis for intelligent cooperation among systems (see Mobile Agents).

   Intelligent Systems, Introduction to | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-30440-3_289

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   How does intelligence emerge?

   • In fact, the problem of understanding how intelligence emerges is becoming more acute with the “omics” revolution, which is generating systematic, quantitative data on genomes, transcriptomes, proteomes and connectomes. Biological systems are being dissected into their ultimate complexity, but no magic answer is appearing at the end of the tunnel.

   New Clues about the Origins of Biological Intelligence

   www.scientificamerican.com/article/new-clues-about-the-origins-of-biological-intelligence/

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   Are Intelligent Systems a clam or a dog?

   • In the case of intelligent systems, too tight a definition of intelligence removes, say, the behaviorswe see in a dog, which can seek out prey or be trained to beg for its dinner, but loosen the definition and we find ourselves talking about systemswith the intelligence of a clam.

   Intelligent Systems, Introduction to | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-30440-3_289

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   Is autopoiesis a science of artificial biology?

   • Undoubtedly, this characteristic of the autopoiesis concept brings AI systems, in which autopoiesis can be identified, closer to Synthetic Biology (SB), another discipline that can be fully classified as one of the sciences of the artificial ( Bianchini, 2021 ).

   Autopoiesis of the artificial: from systems to cognition

   www.sciencedirect.com/science/article/pii/S0303264723001119

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9. www.scientificamerican.com › article › new-cluesNew Clues about the Origins of Biological Intelligence

   www.scientificamerican.com › article › new-clues

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   Dec 11, 2021 · If cells are not intelligent, how can intelligent behavior emerge from a distributed system composed of them? This fundamental mystery permeates biology.