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Comportamiento adaptativo

Los seres vivos han evolucionado en entornos cambiantes, por lo que han desarrollado mecanismos que les permiten exhibir comportamiento adaptativo. Usando el método sintético, podemos construir sistemas artificiales adaptativos que implementen dichos mecanismos, con lo cual también podemos incrementar nuestra comprensión de los sistemas naturales.

En este curso veremos diversos conceptos que se han aplicado en la inteligencia artificial con orígenes en la biología y en la cibernética. Construyendo sobre ejemplos de sistemas vivos, revisaremos diversos algoritmos que permiten a los sistemas adaptarse y de esta manera enfrentar a la complejidad y cambios de su entorno. También cubriremos temas relacionados con la robustez, la cual complementa a la adaptación. Finalmente, veremos algunas aplicaciones de este tipo de inteligencia artificial. En el proyecto final, se desarrollará un sistema artificial que exhiba comportamiento adaptativo.

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What's inside

Syllabus

Adaptación en animales y máquinas

En este módulo se realizará un breve recorrido histórico donde revisaremos los principales conceptos del comportamiento adaptativo.

Auto-organización

Un mecanismo que puede generar adaptación es la auto-organización. Se revisarán conceptos y casos particulares de auto-organización en diversos ámbitos.

Robustez

En este módulo revisaremos cómo es que la robustez complementa a la adaptación, ya que mantiene la funcionalidad de los sistemas en presencia de cambios

Aplicaciones

Para ilustrar los conceptos vistos hasta ahora, se presentarán ejemplos de aplicaciones, mostrando cómo la adaptabilidad puede beneficiar a la movilidad urbana en distintos casos.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces students to the fundamental concepts of adaptive behavior in animals and machines, providing a solid foundation in the field

Provides students with a comprehensive overview of the history of adaptive behavior and the evolution of artificial intelligence algorithms inspired by biology and cybernetics

Covers various self-organizing mechanisms and their applications in different domains, helping students understand how adaptation can emerge from decentralized systems

Emphasizes the importance of robustness in complementing adaptation, ensuring that systems can maintain functionality in the face of changes and disturbances

Provides practical examples of adaptive artificial intelligence applications, showcasing the benefits and potential of using such systems in real-world scenarios

The course is taught by Carlos Gershenson, a highly respected expert in the field of adaptive intelligence, providing learners with access to cutting-edge knowledge and insights

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Reviews summary

Biology-based artificial intelligence

This course explores the application of biological and cybernetic concepts to the development of adaptive artificial intelligence systems. Students will learn about self-organization, robustness, and various algorithms that enable systems to adapt to complex and changing environments. The course includes hands-on projects, such as developing an artificial system that exhibits adaptive behavior. Overall, reviewers praise the course for its clear explanations, engaging content, and practical applications.

Valuable Insights

"En este curso veremos diversos conceptos que se han aplicado en la inteligencia artificial con orígenes en la biología y en la cibernética."

"Para ilustrar los conceptos vistos hasta ahora, se presentarán ejemplos de aplicaciones, mostrando cómo la adaptabilidad puede beneficiar a la movilidad urbana en distintos casos."

Clear and Engaging

"Muy bonito y divertido curso, lo disfrutí mucho."

"Me ha gustado mucho, este curso... lo veo muy didáctico tanto en la teoría como en el plano práctico."

Challenging but Rewarding

"...un examen de programación el cual esta muy complicado..."

"...si no cuentas con las bases, podría causar problemas para la certificacion..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Comportamiento adaptativo with these activities:

Read 'Adaption in Natural and Artificial Systems'

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Reviewing this book will solidify your understanding of adaptation and provide a strong foundation for the course.

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Read the introduction and first three chapters.
Summarize the key concepts of adaptation.
Identify examples of adaptation in both natural and artificial systems.

Organize your course notes and review materials

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Organizing your materials will make it easier to find and review the information you need.

Browse courses on Organization

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Create a system for organizing your notes and materials.
File and label your materials so they are easy to access.
Review your materials regularly to reinforce your learning.

Join a study group to discuss course concepts

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Joining a study group will allow you to share ideas, ask questions, and engage with the material in a collaborative setting.

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Find a study group or form one with classmates.
Meet regularly and discuss the course material.
Work together to solve problems and complete assignments.

Three other activities

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Solve adaptation case studies

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Solving case studies will help you apply the concepts of adaptation to real-world scenarios.

Browse courses on Adaptation

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Identify the problem and the key factors involved.
Analyze the potential solutions and their consequences.
Choose the most appropriate solution and explain your reasoning.

Follow a tutorial on building an adaptive system

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Building an adaptive system will provide you with hands-on experience and a deeper understanding of the concepts.

Browse courses on Adaptive systems

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Choose a suitable tutorial for your skill level.
Follow the tutorial step-by-step and take notes.
Test the system and identify areas for improvement.

Design an adaptive mobile navigation system

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Designing an adaptive mobile navigation system will challenge you to apply the concepts to a practical problem.

Browse courses on Adaptive systems

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Define the requirements and constraints of the system.
Brainstorm ideas and create a prototype.
Test the prototype and gather feedback.
Refine the design and develop the final system.

Career center

Learners who complete Comportamiento adaptativo will develop knowledge and skills that may be useful to these careers:

Robotics Engineer

Robotics Engineers design, build, and maintain robots. The course in Adaptive Behavior is highly relevant to Robotics Engineering, providing insights into how to create robots capable of adapting and responding to dynamic and uncertain environments. By understanding the principles of self-organization, robustness, and adaptability, you will be well-equipped to develop robots that can operate autonomously and effectively in complex real-world scenarios.

See salaries and explore the career path for Robotics Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineers are responsible for the design and development of intelligent systems. The course in Adaptive Behavior explores the application of biological and cybernetic concepts in artificial intelligence, providing you with a solid foundation for understanding how AI systems can adapt and respond to changing environments. By grasping these principles, you will be well-equipped to play a significant role in shaping the future of AI.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning algorithms to solve complex problems. This course in Adaptive Behavior provides a solid foundation for understanding how adaptive mechanisms can enhance the performance of machine learning systems. Through this course, you will gain insights into the design and implementation of adaptive algorithms, enabling you to create more robust and effective machine learning solutions.

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Psychologist

Psychologists study the mind and behavior. This course in Adaptive Behavior aligns with the field of Psychology, offering insights into the psychological mechanisms that underlie adaptive behaviors. By understanding how individuals adapt to their social and environmental contexts, you will be well-equipped to contribute to the development of psychological interventions and therapies that promote resilience and well-being.

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Engineer

Engineers design and build systems to solve real-world problems. The course in Adaptive Behavior explores how adaptive mechanisms can be incorporated into engineering systems. By understanding the principles of self-organization, robustness, and adaptability, you will be well-equipped to create innovative engineering solutions that can effectively address complex and changing environments.

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Computer Scientist

Computer Scientists are involved in the design and development of computer systems. This course in Adaptive Behavior covers the principles of adaptation and robustness in artificial intelligence, providing valuable knowledge for Computer Scientists interested in creating intelligent systems capable of handling complex and dynamic environments. By gaining insights into these principles, you will be better equipped to contribute to the advancement of AI systems.

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Evolutionary Biologist

Evolutionary Biologists study the evolutionary history and processes that shape the diversity of life. This course in Adaptive Behavior aligns with the field of Evolutionary Biology, offering insights into the genetic and phenotypic mechanisms that drive adaptation and evolution. By understanding how organisms have adapted to their environments over time, you will gain a deeper appreciation for the complexity and resilience of life.

See salaries and explore the career path for Evolutionary Biologist

Behavioral Ecologist

Behavioral Ecologists analyze and interpret the behavioral patterns of animals, including humans. This course in Adaptive Behavior delves into the biological origins and adaptive mechanisms of behavior. You will gain valuable knowledge about how animals have evolved to adapt to their environments and the algorithms that enable these adaptations. This course can assist you in developing the foundation necessary to succeed as a Behavioral Ecologist by providing insights into the underlying mechanisms that drive animal behavior.

See salaries and explore the career path for Behavioral Ecologist

Ecologist

Ecologists study the interactions between organisms and their environment. This course in Adaptive Behavior delves into the adaptive mechanisms that enable organisms to survive and thrive in their respective ecosystems. You will gain valuable knowledge about how species have evolved to cope with environmental changes, providing you with a deeper understanding of ecological processes and the conservation of biodiversity.

See salaries and explore the career path for Ecologist

Zoologist

Zoologists study the behavior, physiology, and evolution of animals. This course in Adaptive Behavior complements the field of Zoology, offering insights into the adaptive mechanisms that enable animals to survive and thrive in their respective habitats. By understanding how animals have evolved to cope with environmental changes, you will gain a deeper appreciation for the diversity and adaptability of the animal kingdom.

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Data Scientist

Data Scientists analyze and interpret data to extract meaningful insights. This course in Adaptive Behavior complements the field of Data Science by offering a foundation in understanding how data can be used to create adaptive systems. Through this course, you will gain insights into the algorithms and concepts behind adaptive behavior, enabling you to develop and implement data-driven solutions that can adapt to evolving environments.

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Biologist

Biologists study the behavior and evolution of living organisms. This course in Adaptive Behavior aligns well with the field of Biology, offering insights into the evolutionary origins and mechanisms of behavior in animals. By understanding how organisms adapt to their surroundings, you can develop a deeper comprehension of the biological principles that govern the behavior of all living beings, including humans.

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Neuroscientist

Neuroscientists study the structure and function of the nervous system. This course in Adaptive Behavior may be of interest to Neuroscientists who are interested in understanding the neural mechanisms underlying adaptive behaviors. By exploring the biological origins and evolutionary principles of adaptation, you will gain insights into how the brain and nervous system enable organisms to adjust and respond to their environment.

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Mathematician

Mathematicians develop and apply mathematical theories and techniques to solve problems in various fields. This course in Adaptive Behavior may complement the field of Mathematics, particularly in areas such as optimization, control theory, and dynamical systems. By gaining a deeper understanding of adaptive algorithms and their mathematical foundations, you will be better equipped to develop mathematical models and solutions for complex problems.

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Physicist

Physicists study the fundamental laws of nature and the behavior of matter and energy. This course in Adaptive Behavior may complement the field of Physics, particularly in areas such as statistical physics, soft matter physics, and complex systems. By gaining insights into self-organization, robustness, and adaptability, you will be better equipped to understand and model the behavior of complex physical systems.

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Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Comportamiento adaptativo.

인공지능(제4판) 2

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Este libro de texto clásico proporciona una introducción completa a los principios y algoritmos de la inteligencia artificial, incluida una cobertura detallada del aprendizaje adaptativo.

Comportamiento adaptativo

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Biology-based artificial intelligence

Activities

Career center

Reading list

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