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Related Concept Videos

Machines01:19

Machines

584
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Movement Joints in Buildings01:27

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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
The simplest type of movement joints, working joints, are...
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Machines: Problem Solving II01:30

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Types of Building Stone01:30

Types of Building Stone

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Building stones, essential materials for construction, are extracted from natural rock deposits and processed into specific forms and dimensions suitable for various building applications. These stones are broadly classified into three types based on their geological formation: igneous, sedimentary, and metamorphic.
Igneous rocks are formed from the solidification of magma or lava. An example is granite, known for its durability and resistance to weathering, making it ideal for parts of...
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Avoidance Learning and Learned Helplessness01:14

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Building machines that learn and think for themselves.

Matthew Botvinick1, David G T Barrett1, Peter Battaglia1

  • 1DeepMind,Kings Cross,London N1c4AG,United Kingdom.botvinick@google.combarrettdavid@google.competerbattaglia@google.comnandodefreitas@google.comdkumaran@google.comjzl@google.comcountzero@google.commodayil@google.comshakir@google.comncr@google.comdanilor@google.comadamsantoro@google.comschaul@google.comcsummerfield@google.comgregwayne@google.comtheophane@google.comwierstra@google.comlegg@google.comdemishassahassaibis@google.comhttp://www.deepmind.com.

The Behavioral and Brain Sciences
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Summary
This summary is machine-generated.

Autonomous agents that build and use their own models are key to human-like intelligence. This approach, centered on autonomous learning, is vital for complex real-world applications.

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Machine Learning

Background:

  • Human-like intelligence requires key components, including model-based reasoning.
  • Existing approaches may not scale to real-world complexity.

Purpose of the Study:

  • To propose and explore an approach to artificial intelligence centered on autonomy.
  • To investigate agents that autonomously build and exploit internal models.

Main Methods:

  • Surveying progress in building autonomous agents.
  • Highlighting challenges in autonomous learning and model exploitation.

Main Results:

  • Autonomous agents capable of building and using internal models show promise.
  • Progress has been made in developing agents with human-like abilities.

Conclusions:

  • Autonomy and autonomous learning are crucial for advancing artificial intelligence.
  • This approach is essential for tackling complex domains lacking pre-existing formal models.