2.B.0.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos)This is a featured page

________________________________________________________________________________________________

--------------------------------------------------Alejandro Gustavo Sabatini


-----------------------------------------------------------Home - Alejandro Gustavo Sabatini

_____________________________________________________________________________________

------------------------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini
_____________________________________________________________________________________

------------------------------------------------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini

ver informe en el archivo 2.A.1.0.- Interacción Humano Maquina (examples of Interaction-Interface)

2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini

2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini


-----------------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini

......................................Asistente inteligente de Frenado

-----------------------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini

ver URL http://www.nissan-global.com/EN/TECHNOLOGY/INTRODUCTION/SAFETY/index.html
_____________________________________________________________
----------------------------------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini

Toyota Developing Drunken Driving System
2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini
Toyota is working on a car that WON'T LET YOU DRIVE if you're drunk. The steering wheel will have sensors that can measure your blood alcohol level. The car will also be able to detect bad steering. Special cameras watch your eyes to make sure they're focusing properly. Toyota hopes to have the car on sale by 2009.

Ver URL http://www.breitbart.com/article.php?id=D8MDILP82&show_article=1



_____________________________________________________________

---------------2.B.2.-Links Inteligencia Artificial (IA) - Alejandro Gustavo Sabatini 2.B.2.-Links Inteligencia Artificial (IA) - Alejandro Gustavo Sabatini
-------------------------Ford Motor Company and SYNC
----------------------------------http://autoshows.ford.com/

Ford Sync Makes an Impact
http://autoshows.ford.com/69/2007/01/10/ford-sync-makes-an-impact/?intcmp=show_permalink

SYNC
http://www.syncmyride.com/#/home/

-----------

..............Developed with Microsoft, Ford Sync offers a new level of communications and entertainment convenience. Sync lets users control and personalize their electronic devices in their vehicle. This technology will be available in twelve 2008 model year Ford, Lincoln and Mercury beginning Fall 2007, including Focus, Fusion, Edge, and Explorer.
Check out www.syncmyride.com. Incorporating Bluetooth wireless connection technology as its foundation, Sync can connect cellular phones to the vehicle. The user's personal features (such as phone book and ring tones) are automatically downloaded. Sync offers a unique industry-leading text-to-speech function that will translate incoming text messages to speech and read them over the vehicle's audio system. Sync will translate abbreviation like "LOL" into "Laughing Out Loud," and it offers 20 pre-determined responses that can be customized via web downloads. Sync is also the only automotive application that offers full hands-free, voice-activated command and control over portable music players and storage devices, including Zune and iPod.

_____________________________________________________________________________________

--------2.B.O.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini
--------------------------ver URL http://www.aadeca.org/
_____________________________________________________________________________________

2.B.0.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.0.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.0.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini2.B.0.- Interaccion Interface Hombre Maquina e Inteligencia Artificial (ejemplos) - Alejandro Gustavo Sabatini
Applications of Cognitive Systems

From the euCognition Wiki

44. Feature and macro extraction that convert POMDP to MDP for (larger than) two agent learning scenarios -- the emergence of language.
43. Intelligent brain-computer interfaces for disabled and paralysed persons.
42. Cognitive extensions or cognitive prosthetic systems for the disabled (e.g., a summarizing reading machine for the visually-impaired that would let them quickly know if they want to read more).
41. Image interpretation systems that would be able to learn, navigate, reason, revise knowledge, based on both visual information extracted from the image and symbolic knowledge and other heterogeneous information
40. Intelligent agents
39. An application that learned a new task from scratch (either by itself or through instruction) - as opposed to the traditional approach of "performance improvement" on a task pre-programmed by the designer.
38. Dr. Who's K9
37. Driver assist systems, autonomous navigation, systems that can model intentions, real-time realistic face/body animations, cognitive rehabiliation systems
36. A system that can prompt old people with poor short-term memory when they forget what they are doing.
35. A robot system capable of anticipation
34. A simulation environment within which synthetic characters interact themselves and with their context, e.g. by means of gestures, voice and behaviour.
33. A virtual avatar who explains the developments within a scene using natural language sentences.
32. The ability to link learned procedures in a constructive way and to perform (for example ) an unlearned, goal oriented combinatorial task
31. Human-robot/computer situated (multimodal) dialogue.
30. A robot sniffer/rescue dog, a smart vacuum cleaner, an insightful surveillance system even!
29. A self-modifying assembly and associated control algorithm, which acts to gather energy by growing solar panels, sensors, and actuators, and which works effectively over a wide range of enviroments without operator modification of the initial assembly or algorithm.
28. A robot that can perform tasks demonstrated to it, across a wide range of tasks, without any operator modification of the robot.
27. A robot arm, sensors, and control algorithm that can pick up any graspable object left in its workspace, across a wide range of workspaces and objects, without any operator modification of the arm, sensors, or algorithm.
26. Sensors, actuators, and a control algorithm for a set of machines in a factory which can maintain certain setpoints, across a wide range of modifications to those machines, without any operator modification of the sensors, actuators, and control algorithm.
25. A chess-playing program that plays a good game across a wide range of opponents, without any operator modification of the program.
24. An example of "primitive" cognition (here embodied): a robot that learns a concept such as "if I want to use this knife for cutting, I ought to grasp it at the handle" (as opposed to the blade, which might be the best choice for putting it into the dishwasher). More "complex" (elusive?) cognition (here not embodied): a system that can learn to do basic symbolic and integer math (addition, multiplication and their precedence) discovers by itself the distributive law.
23. The ability to "survive" or maintain existence in a dynamic environment
22. A household assistant for elderly performing transporation tasks.
21. A robot (not necessarily anthropomorphic) learning to drive a car.
20. Domains requiring anticipation and (eventually) active construal of subjective meaning (relevance). Social domains demonstrating the development of shared=objectified "knowledge" and the capability of connecting (grounding) communicated knowledge by integrating it into the active information processes.
19. Any type of user interface, any application domain that requires a user interface.
18. Accident prevention aids for human drivers, healthcare advisors, games (eg. chess, etc) players
17. Robotic application showing the ability to perform a completely new task and process by perceiving, understanding the tasks, environment and context itself (but not a mobile navigation application)
16. Controlling situated real-time systems that have multiple conflicting goals and redundant degrees of freedom / mechanisms of achieving single goals.
15. Robots, intelligent virtual agents, intelligent interactive environments, models of primates or other mammals.
14. In the robotics domain, showing a flexible remapping of senory events on motor responses based on contextual information, memory and prediction.
13. Autonomous Artificial Cell.
12. Robot Guide Dog.
11. Cognitive prosthesis (for elderly or disabled people).
10. Autonomous robot.
9. If a system is capable of proposing a new methodology for solving the same kind of problems that was trained to solve in another way, then it shows a distinctive character of cognition. For example, once being trained to recognize a face by colors or lines... the system investigate new techniques of recognition like typical movement of eyes and mouth.
8. Multiscale model-based control.
7. Autonomous sub-goals emergency during a goal-directed task.
6. Autonomous robots for space exploration, vaccum cleaning, entertainment, lawn mowing, foraging, etc.
5. Autonomous systems.
4. Computer game agents able of cunning and deceiving, i.e. agents that can outsmart their opponents to win a game.
3. Applications which includes self-learning, structuring the sensory input, build meta-representations.
2. Applications in the robotics or surveillance domain would be good areas to demonstrate the difference between a system with and without cognition.
1. Playing the childhood game of hide-and-seek.

Definitions of Cognition.
______________________________________________________________________________________

Home - Alejandro Gustavo Sabatini

SITEMAP
http://interfacemindbraincomputer.wetpaint.com/sitemap


agsabatini
agsabatini
Latest page update: made by agsabatini , Sep 7 2008, 7:47 PM EDT (about this update About This Update agsabatini Edited by agsabatini

12 words added
4 words deleted
1 image added

view changes

- complete history)
More Info: links to this page
There are no threads for this page.  Be the first to start a new thread.