Home > Meeting Topics and Material, News Stories > Weekly QuEST Discussion Topics and News, 18 April

Weekly QuEST Discussion Topics and News, 18 April

First a note – there will be NO QuEST meeting next week (25 April, 2014) – Capt Amerika has a commitment and will be out of town all week!

Topics this week, 18 April include:
1.) Context – we can define context in many ways but one way we’ve pursued in the past: Anything (experience / knowledge – could define experience as a type of knowledge than just say knowledge instead of anything) that contributes to the reduction of uncertainty in the representation of an agent that isn’t supplied explicitly in the sensor input at that moment (prior sensory data, expected data, computations by other agents, relevant domain knowledge, .. – note could use sensors to capture stimuli from other agents vs the environment, …)
2.) Goal for use of context is to reduce ambiguity (our definition of generating information) in object or situation recognition (correct assignment of object / situation labels requires consideration of other objects / prior-future situations, model seems to fit if the context is used to disambiguate between multiple competing alternatives / narratives)
3.) Common to think of context use as a post process to max agreement between parallel processes
a. In this sense you might imagine Context Agents – possibly all Type 2 agents that generate Qualia are these Context Agents – where their sensors are capturing aspects of the representation of a set of agents looking to maximize the agreement between the parallel computations from those agents – a means to choose the most plausible narrative!
4.) Sources of context
a. Learning from training (co-occurrence – can be from other agents)
b. Pre-programmed in (Google sets examples)
c. Derived information (includes agent’s current and prior informational states includes Environment (city, weather, location, orientation, proximity, change of proximity, time) User’s own activity User’s own physiological states)
5.) One reason context can be important to consider is the statement: Total reliance on sensor data is metaphorically equivalent to trying to solve a set of equations when there exist more unknowns than equations
6.) Topics I would like to discuss include Context and Big Data – are current approaches to Big Data looking to account for just one aspect of Context – co-occurrence? If so can we look as another value added path for QuEST to provide a path to incorporate other aspects of Context (like relevant domain knowledge)?
7.) Another topic is the relationship of current proposed means to use context and compliance with QuEST tenets – Context provides the means to ‘situate’ new sensory representations – it is all the other stuff in the representation that is being experienced – thus situating a representation is a big step towards QuEST compliance – let’s look at some examples and discuss what is missing and what is accounted for in terms of our Theory of Consciousness

WeeklyQuESTDiscussionTopicsandNews18Apr

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