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Weekly QuEST Discussion Topics and News, 26 Sept

September 26, 2014 Leave a comment

QuEST 26 Sept 2014:

1.)  We want to start making a few remaining comments we didn’t get to last week –referencing the article from our Google colleagues ‘The unreasonable effectiveness of data’ by Halevy, Norvig, and Pereira.  This week we would like to emphasize choices that have to be made in engineering solutions:  Many people now believe there are only two approaches to:

  1. a deep approach that relies on hand coded grammars and ontologies, represented as complex networks of relations; and
  2. a statistical approach that relies on learning n-gram statistics from large corpora.
  3. When in fact there are three orthogonal problems:
  4.         • choosing a representation language,
  5.       • encoding a model in that language,

iii.      • performing inference on the model

  1. This is where our discussion we were having last week with our cyber colleagues Sandy V and Mike R. —

2.)  The second topic we want to hit maybe this week is related and associated with the above topic – the generation of symbolic representations – for QuEST we are talking the vocabulary of working memory, Qualia.  We want to review an article provided to our colleague Sandy V by Prof Ron Sun.  Autonomous generation of symbolic representations through subsymbolic activities  Ron Sun Version of record first published: 04 Sep 2012. …This paper explores an approach for autonomous generation of symbolic representations from an agent’s subsymbolic activities within the agent-environment interaction. The paper describes a psychologically plausible general framework and its various methods for autonomously creating symbolic representations. The symbol generation is accomplished within, and is intrinsic to, a generic and comprehensive cognitive architecture for capturing a wide variety of psychological processes (namely, CLARION). This work points to ways of obtaining more psychologically/cognitively realistic symbolic and subsymbolic representations within the framework of a cognitive architecture, and accentuates the relevance of such an approach to cognitive science and psychology.

3.)  Also I would like to point out an article we reviewed this week associated with the use of Google Glass for physiological parameter estimation – BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device – by Hernandez et al.

news summary (5)

Weekly QuEST Discussion Topics and News, 19 Sept

September 19, 2014 Leave a comment

QuEST 19 Sept 2014:

1.) We want to start making a few remaining comments we didn’t get to last week – the discussion was prompted by our colleague Qing W from Rome on Semantic Web efforts and specifically how they relate to ‘big-data’ and how they both relate to QuEST. Recall our Rome colleagues have been interacting with James Hendler of RPI. This also led us to an article from our Google colleagues ‘The unreasonable effectiveness of data’ by Halevy, Norvig, and Pereira. The best way to capture where all this fits versus what we are seeking in QuEST is a section in that article that draws the distinction between Semantic Web and Semantic Interpretation (if you will meaning – thanx Laurie F for keeping us focused on this key). Semantic web is a convention for formal representation languages that lets software services interact with each other without needing AI (or any of the meaning making we’ve discussed in QuEST). Services interact because they use the same standard OR known translations into a chosen standard – it is for ‘comprehending’ appropriately constructed semantic documents / data NOT understanding human speech / writings that haven’t been so constructed – that is the semantic interpretation problem which requires imprecise, ambiguous natural language. ** I clearly have issues with their use of the term ‘comprehending’ in that it is a form of rigidly defining pieces of documents and/or data so they can be combined in a rigorously defined manner and I don’t consider that ‘comprehension’ by the software that code embodies the comprehension of a predefined set of activities that should be allowed with these entries** The semantics in Semantic web is in the code that implements the services in accordance with the pre-wired specifications expressed by accepted ontologies and documentation on appropriate / acceptable manipulation of entries. The semantics in semantic interpretation is associated with meaning to a human as embodied in human cognitive and cultural processes…the goal of QuEST is to engineer computer agents that capture some of the ‘comprehension’ characteristics of human agents to include both intuitive (Type 1) and conscious (Type 2) aspects. We do NOT restrict the semantic aspects to the type 2 and our discussions on big data has captured what we can expect it to provide along the Type 1 axes.

2.) The second topic we want to hit maybe this week is the generation of symbolic representations – for QuEST we are talking the vocabulary of working memory, Qualia. We want to review an article provided to our colleague Sandy V by Prof Ron Sun. Autonomous generation of symbolic representations through subsymbolic activities Ron Sun Version of record first published: 04 Sep 2012. …This paper explores an approach for autonomous generation of symbolic representations from an agent’s subsymbolic activities within the agent-environment interaction. The paper describes a psychologically plausible general framework and its various methods for autonomously creating symbolic representations. The symbol generation is accomplished within, and is intrinsic to, a generic and comprehensive cognitive architecture for capturing a wide variety of psychological processes (namely, CLARION). This work points to ways of obtaining more psychologically/cognitively realistic symbolic and subsymbolic representations within the framework of a cognitive architecture, and accentuates the relevance of such an approach to cognitive science and psychology.

3.) Also I would like to point out an article we reviewed this week associated with the use of Google Glass for physiological parameter estimation – BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device – by Hernandez et al.

4.) Also we would like to revisit our discussion on Qualia based tracking and extend the ideas discussed to include Qualia based representations for Cyber Operations – we would like to take the proposed work by our colleague Mike R and brainstorm where / how a qualia based representation could play similar to our previous tracking discussion.

Weekly QuEST Discussion Topics and News, 12 Sept

September 11, 2014 Leave a comment

QuEST 12 Sept 2014:

1.) We want to start by addressing a comment made at the end of last week by our colleague Qing W from Rome on Semantic Web efforts and specifically how they relate to ‘big-data’ and how they both relate to QuEST. I’ve spent some time this week updating our Big data and QuEST slides to include capturing up front many of the walk-aways. We have previously (several years ago) gone down this semantic web path but it is worth revisiting where semantic web work fits. Our Rome colleagues have been interacting with James Hendler of RPI. We want to hit some of his presentations and discuss – this also led us to an article from our Google colleagues ‘The unreasonable effectiveness of data’ by Halevy, Norvig, and Pereira. The best way to capture where all this fits versus what we are seeking in QuEST is a section in that article that draws the distinction between Semantic Web and Semantic Interpretation (if you will meaning – thanx Laurie F for keeping us focused on this key). Semantic web is a convention for formal representation languages that lets software services interact with each other without needing AI (or any of the meaning making we’ve discussed in QuEST). Services interact because they use the same standard OR known translations into a chosen standard – it is for ‘comprehending’ appropriately constructed semantic documents / data NOT understanding human speech / writings that haven’t been so constructed – that is the semantic interpretation problem which requires imprecise, ambiguous natural language. ** I clearly have issues with their use of the term ‘comprehending’ in that it is a form of rigidly defining pieces of documents and/or data so they can be combined in a rigorously defined manner and I don’t consider that ‘comprehension’ by the software that code embodies the comprehension of a predefined set of activities that should be allowed with these entries** The semantics in Semantic web is in the code that implements the services in accordance with the pre-wired specifications expressed by accepted ontologies and documentation on appropriate / acceptable manipulation of entries. The semantics in semantic interpretation is associated with meaning to a human as embodied in human cognitive and cultural processes…the goal of QuEST is to engineer computer agents that capture some of the ‘comprehension’ characteristics of human agents to include both intuitive (Type 1) and conscious (Type 2) aspects. We do NOT restrict the semantic aspects to the type 2 and our discussions on big data has captured what we can expect it to provide along the Type 1 axes.

2.) The second topic we want to hit maybe this week is the generation of symbolic representations – for QuEST we are talking the vocabulary of working memory, Qualia. We want to review an article provided to our colleague Sandy V by Prof Ron Sun. Autonomous generation of symbolic representations through subsymbolic activities Ron Sun Version of record first published: 04 Sep 2012. …This paper explores an approach for autonomous generation of symbolic representations from an agent’s subsymbolic activities within the agent-environment interaction. The paper describes a psychologically plausible general framework and its various methods for autonomously creating symbolic representations. The symbol generation is accomplished within, and is intrinsic to, a generic and comprehensive cognitive architecture for capturing a wide variety of psychological processes (namely, CLARION). This work points to ways of obtaining more psychologically/cognitively realistic symbolic and subsymbolic representations within the framework of a cognitive architecture, and accentuates the relevance of such an approach to cognitive science and psychology.

3.) Also I would like to point out an article we reviewed this week associated with the use of Google Glass for physiological parameter estimation – BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device – by Hernandez et al.

news summary (1)

Weekly QuEST Discussion Topics and News, 5 Sept

September 4, 2014 Leave a comment

1.)  The first topic has to do with the current debate on ISIS / ISIL – we want to wrap in a few extra points that came up last week – and integrate them into the ‘think piece’ – specifically the connection to things like Ferguson Mo and also Rik W brought up the mechanisms used in Bee Hives to keep them healthy (how they eliminate the old / sick / weak.  So I again want to discuss is there a common theme that is consistent with our think piece –  Fighting an Adaptable foe.  Specifically the common issues in fighting in cyber, fighting the war on cancer and the fight against terrorism – now adding the mechanisms nature uses to maintain healthy societies like beehives and also social unrest like Ferguson Mo.  Recall our interest in this topic started by an article in the area of the fight against cancer the basic idea — still in the experimental stages — is that cancer cells cannot turn into a lethal tumor without the cooperation of other cells nearby. That may be why autopsies repeatedly find that most people who die of causes other than cancer have at least some tiny tumors in their bodies that had gone unnoticed.  *** in fact confirms matt’s brothers observation – and the lung cancer observation – that found as many lung cancers in nonsmokers although clearly more smokers die from lung cancer *** According to current thinking, the tumors were kept in check, causing no harm. … It also may mean that cancers grow in part because normal cells surrounding them allowed them to escape. It also means that there might be a new way to think about treatment: cancer might be kept under control by preventing healthy cells around it from crumbling*** this is the provide security and safety strategy approach to asymmetric war ***…“Think of it as this kid in a bad neighborhood,” said Dr. Susan Love, a breast cancer surgeon and president of the Dr. Susan Love Research Foundation. “You can take the kid out of the neighborhood and put him in a different environment and he will behave totally differently.” We also had to point of using insecticides attack pests in agriculture.

2.)   The second topic is we’ve recently had an open technical workshop on Sensing as a Service.  As part of that workshop we developed a list of actionable characteristics of SaaS solutions.  A discussion of where QuEST can impact these efforts would be interesting. 

3.)  The last topic, if we make it to it, is associated with our recent discussions on ‘big data’.  Over the last couple of weeks we’ve developed a  position of where/how QuEST fits with respect to big data efforts.  I would like to have a discussion on the walk-aways on big-data in general and specifically on QuEST and big data.  To have that discussion I would like to review ‘big data’ material we’ve reviewed over the last couple of years and pull it all together so people can catch up and comment.

Weekly QuEST Discussion Topics and News 5 Sept

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