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Weekly QUEST Discussion Topics and News, 3 Jan

Kabrisky Memorial lecture on the ‘State of Quest’ 2014

Situationally conscious cognitive Exoskeleton – QUEST
1.) Will explain later the idea of situational consciousness vs situational awareness – but the concept of a cognitive exoskeleton is the key thrust of this effort – how to deliver decision advantage – improving decision quality is what we seek
2.) Most suggest that (decision advantage = improving decision quality) is achieved through SA – data like that provided by AF/ST support and the aviation slide – SA drives decision quality (second AF/ST slide) – define SA (wiki)– must be general enough to be useable in Cyber next cyber slide – ignores people – but the layered view from AF/ST includes – Lots of work (for example by AF/ST) that conclude that decision quality is dominated by SA (situational awareness)- last cyber slide captures some of the key cyber challenges – So is the key function for a cognitive exoskeleton to ensure SA?
3.) Although this effort / discussion is focused on ways to impact C4ISR in and across all domains – the approach is very general and we’ve investigated for example applications in sustainment of the fleet, cyber ISR, etc. – the AF/ST slide goes through the need for autonomy across our core functions – virtually anywhere ‘decision’ quality is the limiting factor in capability – and that is everywhere. – jeff Jonas view of problem space – Endsley equivalent to Jonas view – lots of data but little information needed
4.) Sensor designers concluded that need more and more sensors to achieve SA (AF/ST slide on information gap and why? – and the result is lots of stove piped solutions each bringing a piece of the data space that could improve SA to a human that must integrate and filter –
5.) Cognitive engineering (user centered philosophy) and SA oriented design slides – provides insight into a new approach to solve these issues – side note – we’ve successfully used these cognitive engineering approaches in our ongoing pcpadx efforts to revolutionize the DCGS for SOF etc – unifying frame of reference was a situation! Those slides are in the back up area – fyi for AF/ST
6.) Cognitive Engineering insight also provides a new view of what SA is – define Situations – Asituation is any part the agent centric internal representation of an agent which can be comprehended as a whole by that agent through defining how it interacts with oris related to other parts of the representation in that agent. We will definecomprehended by defining how it interacts or is related to other situations via linking (and types of links). interacting with other things we mean that the situations have properties or relate to other situations.” *** we would say can and must be linked to other ‘situations’ = ‘other qualila’ = other chunks*** – agent centric – there are not out there – they are in the mind of the agent making the decision – thus the idea of measuring the world is NOT the solution to SA – sensing is –
7.) Sensing as a new paradigm – SoS is the key – sensors integrated within decision systems – idea is sensors as part of SoS that make decisions that is what makes sensing versus sensors – Tenets of Sensing as a Service – Embedding in closed-loop decision systems – Responsive sensing automation – Streaming analytics and multi-modal fusion – Accessible across domains – Multi-user support – Comprehensive assessment – the goal is to address the challenge presented in the Strategic vision ‘Delivering Decision Advantage’ – “AF ISR’s processing, exploitation, and dissemination (PED) capability has evolved considerably over the last decade. To continue the maturation, we will break the linear relationship between collection and analysis, where every increment of additional collection capacity requires a proportionate increase in analytical manpower. We will embrace the need for increased automation while recognizing that analysts play the critical role in synthesis, integration, and insight.” ** we would include also breaking the relationship between the number of ‘customers’ accessing the information and having their decisions impacted and the resources used **
8.) But in the modern battle spaces decision quality has to be improved in a range of decision makers – thus we need to break the linear relationship between … – thus we propose sensing as a service –customer interacting with the data with ToM –
9.) *** up to this point it is background – to provide context for AF/ST – can start with slide 19 for just a quest overview *** Most suggest solution lies in autonomy
10.) Magic bullet will not occur
11.) Need human machine teams – IA vs AI – AF/ST slide – her conclusion is justification – the question is how to achieve human/machine teaming – how to overcome the problems she list in her challenges to effective use of autonomy
12.) Joint cognitive systems – we suggest the solution lies in realizing human machine teaming within a common framework – with shared perception –
13.) Requires cognitive models – we’ve focused on dual process theory like advocated by Evans and Stanovich –
14.) Dual process ideas – start with type one processes and examples
15.) Rating professors and processing sensory data (example blindsight)
16.) Then the type two processes that lead to consciousness
17.) Define qualia – and define consciousness as generating qualia
18.) Key idea is artificial consciousness – that requires a definition / understanding of consciousness – what is it? – why is it there – qualia – cognitive flexibility – hypothetical part of SA levels is the key insight – but extend to not just be what might happen in the future but also what might be happening now and what might have happened before – imagined present, imagined past and imagined future – all consciousness –
19.) Requires a theory of consciousness – set of fundamental laws – situation based / simulation / structurally coherent
20.) First of laws is situational based – situated –
21.) Key missing piece of current AI is means to process situations – / perceptions
22.) Define situations
23.) Second law is cognitively decouple / hypothetical simulation = type 2 processes (consciousness)
24.) Related to Endsley model of SA
25.) We agree that the projection level of SA is a hypothetical – an imagined future – we think that idea is key – would like to extend to have a hypothetical present / hypothetical past – need computational theory of processing these situations / hypothetical situatiions –
26.) Define awareness – versus consciousness – range of values versus awareness
27.) Need approach to process situations / perceptions / chunks / qualia
28.) We seek quest agents to serve as cognitive exoskeletons – for human or groups of humans – their goal is to use a dual process representation to capture situations appropriate for their human team-mates –
29.) By having all (humans and computer based quest agents) using the same approach to representation we have hope of a common framework – a common math that can compute a situational complexity measure that can be used to determine what can be known by a group of agents – allowing calculation of capacity (situational complexity based)
30.) Requires a framework for the dual process models – example is the Stanovich and Evans ideas and a common mathematical framework (possibly category theory) capable of handling computer agents with artificial consciousness and humans that will lead to a theory of knowledge (what can be known by this set of agents using this set of sensing solutions)
31.) Requires models – example Larue (have early working versions now)
32.) Requires a set of driver problems – example pcpadx cp2 and cyber SA


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