Home > Uncategorized > Weekly QuEST Discussion Topics and News, 10 Oct

Weekly QuEST Discussion Topics and News, 10 Oct

QuEST 10 Oct 2014

Since the discussion last week on the unexpected query – where we were attempting to define where will QuEST solutions bring value and how to define that – we’ve had a series of virtual interactions – the material below captures a snapshot of the points that we will discuss:

What is an agent?

  • We will use the term agent in a broad manner – to include human and computer agents
  • The common functionality of agents is they have sensors that allow them to capturestimuli from the environment
  • Once the stimuli are captured by an agent’s sensors and brought into the agent that is what we call data (note you cannot say data without saying with respect to which agent)
  • The agent then updates some aspect of its internal representation with that data thus reducing some uncertainty in that representation – so we now call that information (again note that information is agent centric as is data)
  • The agent might generate some action using its effectors or the effectors might just output stimuli into the environment for use by other agents.

What is a query?

  • Let’s define Query – as the act of a stimulus being provided to an agent – the stimulus has characteristics that completely capture the salient axes (keep in mind what is salient in a stimulus is agent centric) of the stimuli – some of those axes are captured by an agent in its conversion of that stimuli into data (agent centric internal representation of the stimuli)
  • We use the term query instead of stimuli to capture the idea that a given agent must take the stimuli and appropriately respond (thus an action)

–     that response may be to just update its representation or not or may actually be taking an action through an agent’ effectors

What is an unexpected query?

  • That is the goal of this discussion to bring some specifics to the idea of anunexpected query – but for now realize we use that term with some localization (maybe with respect to an agent – or maybe with respect to some process within an agent= performing agent – that is an unexpected query could be unexpected to some process within an agent or to the agent or collection of agents as a whole) – it is deemedunexpected to the performing agent and that label ‘unexpected’ is from the perspective of an external ‘evaluating agent’

–     But the point of the word ‘unexpected’ is to capture the idea that a process that takes in stimuli and responds (again could just be updating a representation or could be the response is some action taken) has some assumptions built into its design that may or may not be violated by a given stimulus (and the violation is from the perspective of an external agent)

  • When the assumptions that are key for the acceptable response are violated we will term that stimuli as being unexpected to that process/agent (performing agent) – and the violation is from the perspective of the evaluating agent
  • Note – the ‘unacceptable’ nature of any response is determined from the perspective of some other agent {evaluating agent} / process

–     so where one evaluating agent might take the response to a stimuli as unacceptable another may deem it perfectly acceptable – thus the unexpected nature of a stimuli is agent centric (note an agent – the evaluating agent – different than the one reacting to the stimulus the performing agent)

–     Note the evaluating agent has access to additional stimuli AND also has a model of the performing agent – thus can assess that the performing agent has an unacceptable response from its perspective

So why do we care:

  • So we posit that the type 2 processes (consciousness results from type 2 processing) that are situated and simulation based and include a model for the type 1 processes (that is what intuition provides us – at the conscious level it is our model of the evaluation of the Type 1 system projected into a conscious form) can be evaluation agents and detect UQs for the Type 1 processes
  • I suspect similarly the Type 1 processes might receive inputs from Type 2 stimuli and can possibly update their models – a late set of interactions with colleagues Robert P / Mike Y convince me this is a defendable position
  • Bottom line – a simulation based / situated representation can generate solutions to queries where the solutions don’t have to based on the stimuli – they are based on inferences from the simulation/ situation based representation – and from the evaluation agent called evolution perspective that provided more acceptable responses in leading to more reproduction …

What is consciousness?

  • Stable, consistent and useful situated simulation that is structurally coherent

–     The space for the unexpected query for such a representation complements the experiential representation which is the focus of Type 1 processes

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