Adaptive Software evaluates its own behavior and changes it when the evaluation indicates that it is not accomplishing what the software is intended to do, or when better functionality or performance is possible, or when the interaction with the user could be improved. Adaptation is a feature that needs to be implemented on design time and applied at runtime. Building adaptive software implies: a) the software has multiple ways of accomplishing its purpose, and has enough knowledge of its architecture to make effective changes. b) the software design follows the best practices to make it possible to have an elastic design that makes the adjustment feasible. c) the software has the ability to take care of the user understanding his necessities, being aware of events in the UI but also sensing and understanding user’s emotional reactions. d) the software is intelligent enough for evaluating its behavior and performance, as well as the ability to plan and reconfigure its operations in runtime. e) the software is aware of it own resource management and can adapt its execution to assure the best consumption of it. In this talk, we will provide a sneak peek of how to achieve those facts and the disciplines behind them with a practical orientation. Lets review the future of software in a roadmap that confront us with ubiquity, mobility, multi-agent technology, software engineering, software architecture, artificial intelligence, cloud computing, affective computing, human computer-interfaces, and data mining.

1. BUILDING ADAPTIVE SOFTWARE:
SOFTWARE ARCHITECTURE MEETS
AFFECTIVE COMPUTING AND MACHINE LEARNING

2. Adaptación
2

3. Deseo un Software...
Amigable Barato
adaptable
Modificable Inteligente
“Bonito”
Flexible “que me entienda”
=
empático
3

4. Y en consecuencia...
4

5. En resumen...
ADAPTACIÓN
ARQUITECTURA
INTELIGENCIA
EMPATÍA SOFTWARE ARCHITECTURE
AFFECTIVE COMPUTING MACHINE LEARNING
5

6. Affective Computing
6

7. Estado de Ánimo
Empatía:
Identificación de un sujeto con el estado de ánimo de otro.
¿Cúal es tu estado de ánimo?
7

8. Cerebro
8

9. Cerebro
9

10. BCI
10

11. Raw Data
Timestamp AF3 F7 F3 FC5 T7 P7 O1 O2 P8 T8 FC6 F4 F8 AF4 AccX AccY
101116112544901 45424831.8 4247.2 4690.3 4282.6 4395.4 4591.8 4569.2 4360 4570.8 4297.4 4311.3 4282.6 4367.2 1660 2003
101116112544901 45374802.1 4243.1 4673.9 4272.3 4393.3 4592.8 4570.3 4354.9 4570.3 4292.3 4309.7 4278 4370.8 1658 2002
101116112545010 4533 4799 4234.9 4669.7 4301 4396.9 4592.3 4570.8 4351.3 4561 4281.5 4301.5 4271.3 4363.6 1659 2003
101116112545010 45494839.5 4241 4691.3 4333.9 4398 4596.4 4567.2 4355.9 4556.4 4286.2 4306.2 4278 4369.7 1659 2003
101116112545010 45804865.6 4251.8 4710.3 4340 4401.5 4603.6 4572.8 4360 4558.5 4299 4324.6 4296.4 4395.9 1657 2004
101116112545010 4597 4860 4252.8 4705.6 4350.3 4412.3 4603.6 4577.4 4357.4 4555.9 4295.4 4329.2 4296.4 4414.4 1656 2005
101116112545010 45854847.7 4246.7 4690.3 4360 4409.2 4597.4 4569.7 4351.8 4549.7 4279 4316.9 4272.8 4399.5 1656 2006
101116112545010 45664842.1 4238.5 4684.1 4322.1 4389.7 4592.8 4566.7 4351.8 4549.7 4274.4 4310.3 4262.1 4370.8 1655 2005
101116112545010 45644844.6 4231.8 4687.7 4267.7 4387.7 4594.4 4580 4361 4556.4 4279 4310.8 4274.4 4370.8 1653 2006
101116112545010 45674847.2 4233.3 4688.7 4285.1 4409.2 4602.1 4589.2 4368.2 4560 4280.5 4310.8 4281.5 4390.3 1655 2004
101116112545010 45704846.7 4234.9 4683.1 4323.1 4415.9 4604.1 4585.6 4366.7 4557.4 4278 4310.3 4273.3 4384.1 1652 2005
101116112545010 45694842.6 4233.9 4678.5 4310.8 4402.6 4599 4583.1 4364.1 4553.9 4277.4 4310.3 4271.3 4372.3 1654 2005
101116112545010 45584832.8 4234.9 4676.9 4301 4389.7 4595.4 4590.3 4368.7 4556.9 4280 4310.3 4276.9 4380 1653 2004
101116112545010 45564831.8 4233.3 4679.5 4314.4 4390.3 4598 4599 4374.9 4562.6 4280.5 4311.3 4280 4386.2 1653 2004
101116112545010 45704842.6 4232.8 4684.1 4303.6 4405.6 4609.7 4600 4378.5 4567.2 4279 4313.3 4280 4382.1 1653 2002
101116112545010 45744846.7 4235.4 4683.1 4293.3 4416.4 4619.5 4604.1 4382.6 4570.8 4280.5 4310.8 4282.1 4382.1 1652 2002
101116112545010 45624840.5 4227.2 4673.9 4300 4405.1 4611.3 4601 4376.4 4561.5 4280 4303.6 4279.5 4374.9 1652 2000
11

12. Emociones
Timestamp Short Term Excitement Long Term Excitement Engagement Meditation Frustration
101116091145065 0.447595 0.54871 0.834476 0.333844 0.536197
101116091145190 0.447595 0.54871 0.834476 0.333844 0.536197
101116091145315 0.447595 0.54871 0.834476 0.333844 0.536197
101116091145440 0.487864 0.546877 0.834146 0.339548 0.54851
101116091145565 0.487864 0.546877 0.834146 0.339548 0.54851
101116091145690 0.487864 0.546877 0.834146 0.339548 0.54851
101116091145815 0.487864 0.546877 0.834146 0.339548 0.54851
101116091145940 0.521663 0.545609 0.839321 0.348321 0.558228
101116091146065 0.521663 0.545609 0.839321 0.348321 0.558228
101116091146190 0.521663 0.545609 0.839321 0.348321 0.558228
101116091146315 0.521663 0.545609 0.839321 0.348321 0.558228
101116091146440 0.509297 0.544131 0.84401 0.358717 0.546771
101116091146565 0.509297 0.544131 0.84401 0.358717 0.546771
101116091146690 0.509297 0.544131 0.84401 0.358717 0.546771
101116091146815 0.509297 0.544131 0.84401 0.358717 0.546771
101116091146941 0.451885 0.541695 0.848087 0.368071 0.533919
12

13. Rostro
!
19!Lip!Corner!Depressor!
!
26!Jaw!Drop!
!
27!Mouth!Stretch!
Enero!22,!2010! Javier!González!!Sánchez!|!María!E.!Chávez!Echeagaray! 22!
13

14. Rostro
14

15. Rostro
Timestamp Agreement Concentrating Disagreement Interested Thinking Unsure
101116112838516 0.001836032 0.999917 1.79E-04 0.16485406 0.57114255 0.04595062
101116112838578 0.001447654 0.9999516 1.29E-04 0.16310683 0.5958921 0.042706452
101116112838672 5.97E-04 0 1.50E-04 0.44996294 0.45527613 0.00789697
101116112838766 2.46E-04 0 1.75E-04 0.77445686 0.32144752 0.001418217
101116112838860 1.01E-04 0 2.04E-04 0.93511915 0.21167138 2.53E-04
101116112838953 4.18E-05 0 2.38E-04 0.983739 0.13208677 4.52E-05
101116112839016 1.72E-05 0 2.78E-04 0.9960774 0.07941038 8.07E-06
101116112839110 7.10E-06 0 3.24E-04 0.99906266 0.046613157 1.44E-06
101116112839156 2.92E-06 0 3.77E-04 0.99977654 0.026964737 2.57E-07
101116112839250 1.21E-06 0 4.40E-04 0.9999467 0.015464196 4.58E-08
101116112839391 4.97E-07 0 5.12E-04 0.9999873 0.008824189 8.18E-09
101116112839438 2.05E-07 0 5.97E-04 0.999997 0.005020725 1.46E-09
101116112839547 8.43E-08 0 6.96E-04 0.9999993 0.002851939 2.60E-10
101116112839578 3.47E-08 0 8.11E-04 0.9999999 0.001618473 4.64E-11
101116112839688 1.43E-08 0 9.45E-04 0.99999994 9.18E-04 8.29E-12
101116112839781 5.90E-09 0 0.001101404 1 5.21E-04 1.48E-12
101116112839828 2.43E-09 0 0.001283521 1 2.95E-04 2.64E-13
15

16. Voz
16

17. Texto
17

18. La lista sigue:
Nike Fuel Google Latitud Tarjetas bancarias
-Pasos -GPS $
-Calorías -Lugares Costumbres de compras
18

19. Machine Learning
19

20. Pensamientos
Inteligencia :
capacidad de entender, asimilar, y elaborar información
...utilizarla para resolver problemas
20

21. Adivinar
21

22. Estadísticas
Rama de la matemática
que utiliza grandes conjuntos de datos
para obtener inferencias ( “adivinar” ).
22

23. Se acuerdan de...
x y z resultado
3 2 -1 1
2 -2 4 -2
-1 0.5 -1 0
1 -2 ? -3
23

24. Algo más elaborado
¡vas a equivocarte
veces!
24

25. Tool: Eureqa
25

26. Foro Académico 2010
26

27. Foro Academico 2010
27

28. Foro Academico 2010
28

29. Foro Academico 2012
29

30. apple.com
30

31. El Siglo de Torreon, jueves 8, marzo 2012
Periódico
31

32. Software Architecture
32

33. Ciclo de Adaptación
33

34. El modelo Lego
• Encapsular
• Alta cohesión
• Bajo acoplamiento
• Jerarquía
• Capas
• Estrategias
•Patrones
34

35. Patrones de Diseño
35

36. Usos
36

37. Questions | Answers
37

38. javiergs.com
javiergs @ asu.edu