Across
- 3. IBM’s question-answering computer system that is capable of answering questions posed in natural language.
- 4. Algorithm for supervised learning of artificial neural networks using gradient descent.
- 7. Artificial Immune Systems: machine learning systems inspired by theoretical
- 8. Logic programming language associated with artificial intelligence and computational linguistics.
- 9. Computer program developed by DeepMind that uses machine learning (artificial neural networks) to identify the best moves to win the board game “Go”.
- 10. Realistic humanoid robot designed for research, education, and entertainment, and helps promote public discussion about Artificial Intelligence ethics and the future of robotics. Developed by the Hong Kong-based company Hanson Robotics.
- 11. Autonomous entity that learns and uses knowledge to achieve its goals.
- 14. Biological correspondent of the weights in an artificial neural network.
- 16. Finite sequence of well-defined computer instructions to solve a computation
- 19. and unsupervised learning methods, and address problems such as pattern recognition and prediction.
- 21. Local search algorithm that starts with an arbitrary solution to a problem, then
- 22. Java Agent Development Framework: software framework for the development of an intelligent agent, implemented in Java.
- 25. computerized system composed of multiple interacting intelligent agents.
- 26. Branch of mathematics used to model the strategic interaction between different players in a context with predefined rules and outcomes.
- 27. algorithm for supervised learning of binary classifiers.
- 28. interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers.
- 29. simulation of human intelligence processes by machines, especially computer systems.
Down
- 1. Type of machine learning and artificial intelligence that imitates the way humans gain certain types of knowledge.
- 2. Uninformed search algorithm that aims to find a path to the goal node which has the lowest cumulative cost.
- 5. act of defining a problem; determining the cause of the problem; identifying, prioritizing, and selecting alternatives for a solution; and implementing a solution.
- 6. Adaptive resonance theory: describes a number of neural network models which use
- 9. to find a better solution by making incremental changes to it.
- 12. Elementary unit of an artificial neural network.
- 13. test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.
- 15. Type of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
- 17. Fully connected network with each node connecting to every other node, including itself. The nodes compete against each other by sending out inhibiting signals to each
- 18. Computing systems that are based on a collection of nodes that simulate the neurons in the human brain.
- 20. Restricted Boltzmann Machine: generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.
- 23. interdisciplinary branch of computer science and engineering.
- 24. Learning rule that describes how the neuronal activities influence the connection between neurons.
- 30. involves design, construction, operation, and use of robots and has as its goal to design machines that can help and assist humans.