1. Deep Green
1.1. Battlespace Simulations
1.2. Defense and Security
1.3. Bohemia Simulations
2. Sitrep
3. Sagittarius A*
4. Archive Earthbank
4.1. 2nd
4.2. Facebook
5. green field
5.1. Alterland
6. blue field
6.1. https://www.eviebot.com/en/
6.2. https://botsify.com/
6.3. https://chatfuel.com/
7. Home
8. Map
9. Salt
9.1. AI
9.2. Terrorism
9.3. Task
9.3.1. Sight
9.3.2. distence
9.3.3. Interface
10. Ogam
11. Sm
12. 2017
12.1. Predictions
13. 2018
14. 2019
15. 2020
15.1. Destiny
16. Directionology
16.1. To do
16.2. Our Place
17. Norma Cluster
18. Great Attracter
19. Most Distant Quasar
20. Andromeda Galaxy
21. Milky Way Galaxy
22. Proxima
23. Interface
24. CB
25. Consciousness
26. Artificial Consciousness
26.1. 1 Philosophical views
26.2. 1.1 Plausibility debate
26.3. 1.1.1 Computational Foundation argument
26.4. 1.2 Ethics
26.5. 2 Research and implementation proposals
26.6. 2.1 Aspects of consciousness
26.7. 2.1.1 Awareness
26.7.1. Awareness could be one required aspect, but there are many problems with the exact definition of awareness. The results of the experiments of neuroscanning on monkeys suggest that a process, not only a state or object, activates neurons. Awareness includes creating and testing alternative models of each process based on the information received through the senses or imagined, and is also useful for making predictions. Such modeling needs a lot of flexibility. Creating such a model includes modeling of the physical world, modeling of one's own internal states and processes, and modeling of other conscious entities. There are at least three types of awareness:[9] agency awareness, goal awareness, and sensorimotor awareness, which may also be conscious or not. For example, in agency awareness you may be aware that you performed a certain action yesterday, but are not now conscious of it. In goal awareness you may be aware that you must search for a lost object, but are not now conscious of it. In sensorimotor awareness, you may be aware that your hand is resting on an object, but are not now conscious of it. Because objects of awareness are often conscious, the distinction between awareness and consciousness is frequently blurred or they are used as synonyms.[10]
26.8. 2.1.2 Memory
26.8.1. Conscious events interact with memory systems in learning, rehearsal, and retrieval.[11] The IDA model[12] elucidates the role of consciousness in the updating of perceptual memory,[13] transient episodic memory, and procedural memory. Transient episodic and declarative memories have distributed representations in IDA, there is evidence that this is also the case in the nervous system.[14] In IDA, these two memories are implemented computationally using a modified version of Kanerva’s Sparse distributed memory architecture.[15]
26.9. 2.1.3 Learning
26.9.1. Learning is also considered necessary for AC. By Bernard Baars, conscious experience is needed to represent and adapt to novel and significant events (Baars 1988). By Axel Cleeremans and Luis Jiménez, learning is defined as "a set of philogenetically [sic] advanced adaptation processes that critically depend on an evolved sensitivity to subjective experience so as to enable agents to afford flexible control over their actions in complex, unpredictable environments" (Cleeremans 2001).
26.10. 2.1.4 Anticipation
26.10.1. The ability to predict (or anticipate) foreseeable events is considered important for AC by Igor Aleksander.[16] The emergentist multiple drafts principle proposed by Daniel Dennett in Consciousness Explained may be useful for prediction: it involves the evaluation and selection of the most appropriate "draft" to fit the current environment. Anticipation includes prediction of consequences of one's own proposed actions and prediction of consequences of probable actions by other entities. Relationships between real world states are mirrored in the state structure of a conscious organism enabling the organism to predict events.[16] An artificially conscious machine should be able to anticipate events correctly in order to be ready to respond to them when they occur or to take premptive action to avert anticipated events. The implication here is that the machine needs flexible, real-time components that build spatial, dynamic, statistical, functional, and cause-effect models of the real world and predicted worlds, making it possible to demonstrate that it possesses artificial consciousness in the present and future and not only in the past. In order to do this, a conscious machine should make coherent predictions and contingency plans, not only in worlds with fixed rules like a chess board, but also for novel environments that may change, to be executed only when appropriate to simulate and control the real world.
26.11. 2.1.5 Subjective experience
26.12. 2.2 Role of cognitive architectures
26.13. 2.3 Symbolic or hybrid proposals
26.14. 2.3.1 Franklin's Intelligent Distribution Agent
26.15. 2.3.2 Ron Sun's cognitive architecture CLARION
26.16. 2.3.3 Ben Goertzel's OpenCog
26.17. 2.4 Connectionist proposals
26.18. 2.4.1 Haikonen's cognitive architecture
26.19. 2.4.2 Shanahan's cognitive architecture
26.20. 2.4.3 Takeno's self-awareness research
26.21. 2.4.4 Aleksander's impossible mind
26.22. 2.4.5 Thaler's Creativity Machine Paradigm
26.23. 2.4.6 Michael Graziano's attention schema
26.24. 3 Testing
27. Intelligence
28. Artificial Intelligence
29. Sentience
30. Sapience
31. Super Intelligence
32. Artificial General Intelligence
33. Sociology
34. Philosphy
34.1. Natural philosophy ("physics") was the study of the physical world (physis, lit: nature);
34.2. Moral philosophy ("ethics") was the study of goodness, right and wrong, beauty, justice and virtue (ethos, lit: custom);
34.3. Metaphysical philosophy ("logos") was the study of existence, causation, God, logic, forms and other abstract objects ("meta-physika" lit: "what comes after physics")
35. Ontology
36. Epistemology
37. Etymology
38. Conflict Theories
39. Structural Functionalism
40. Spacetime
41. Mosul
41.1. Simpath
41.2. Event
41.3. Current 3/12/16
42. 2050
43. 2100
44. Indigo
44.1. History[]
44.2. Battlespace[]
44.2.1. Space
44.2.2. Cyber
44.2.3. Air
44.2.4. Information
44.2.5. Land
44.2.6. Sea
44.3. Weapons[]
44.4. Tactics[]
44.5. Operational[]
44.6. Strategy[]
44.7. Grand strategy[]
44.8. Organization[]
44.9. Logistics[]
44.10. Related[]
44.10.1. Asymmetric warfare
44.10.2. Colonial war
44.10.3. Religious War
44.11. Lists
44.11.1. RedBooks
45. Adversary
45.1. Numbers
45.2. Intel
45.2.1. History[]
45.2.2. Battlespace[]
45.2.3. Weapons[]
45.2.4. Tactics[]
45.2.5. Operational[]
45.2.6. Strategy[]
45.2.7. Grand strategy[]
45.2.8. Organization[]
45.2.9. Logistics[]
45.2.10. Related[]
45.2.10.1. Asymmetric warfare
45.2.10.2. Colonial war
45.2.11. Lists