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  • Subsumption architecture vs. perceptual control theory

    - by Yasir G.
    I'm a new person to AI field and I have to research and compare 2 different architectures for a thesis I'm writing. Before you scream (homework thread), I've been reading on these 2 topics only to find that I'm confusing myself more.. let me first start with stating briefly what I know so far. Subsumption is based on the fact that targets of a system are different in sophistication, thus that requires them to be added as layers, each layer can suppress (modify) the command of the layers below it, and there are inhibitors to stop signals from execution lets say. PCT stresses on the fact that there are nodes to handle environmental changes (negative feedback), so the inputs coming from an environment go through a comparator node and then an action is generated by that node, HPCT or (Hierarchical PCT) is based on nesting these cycles inside each other so a small cycle to avoid crashing would be nested in a more sophisticated cycle that targets a certain location for example. My questions, am I getting this the right way? am I missing any critical understanding about these 2 models? also any idea where I can find simplified explanations for each theory (so far been struggling trying to understand the papers from Google scholar :< ) /Y

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  • Recent programming language for AI?

    - by Eduard Florinescu
    For a few decades the programming language of choice for AI was either Prolog or LISP, and a few more others that are not so well known. Most of them were designed before the 70's. Changes happens a lot on many other domains specific languages, but in the AI domain it hadn't surfaced so much as in the web specific languages or scripting etc. Are there recent programming languages that were intended to change the game in the AI and learn from the insufficiencies of former languages?

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  • What is a recent programming language of choice for the AI?

    - by Eduard Florinescu
    For a few decades the programming language of choice for AI was either Prolog or LISP, and a few more others that are not so well known. Most of them were designed before the 70's. Changes happens a lot on many other domains specific languages, but in the AI domain it hadn't surfaced so much as in the web specific languages or scripting etc. Are there recent programming languages that were intended to change the game in the AI and learn from the insufficiencies of former languages?

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  • What algorithm(s) can be used to achieve reasonably good next word prediction?

    - by yati sagade
    What is a good way of implementing "next-word prediction"? For example, the user types "I am" and the system suggests "a" and "not" (or possibly others) as the next word. I am aware of a method that uses Markov Chains and some training text(obviously) to more or less achieve this. But I read somewhere that this method is very restrictive and applies to very simple cases. I understand basics of neural networks and genetic algorithms(though have never used them in a serious project) and maybe they could be of some help. I wonder if there are any algorithms that, given appropriate training text(e.g., newspaper articles, and the user's own typing) can come up with reasonably appropriate suggestions for the next word. If not (links to)algorithms, general high-level methods to attack this problem are welcome.

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  • Parallelize incremental processing in Tabular #ssas #tabular

    - by Marco Russo (SQLBI)
    I recently came in a problem trying to improve the parallelism of Tabular processing. As you know, multiple tables can be processed in parallel, whereas the processing of several partitions within the same table cannot be parallelized. When you perform an incremental update by adding only new rows to existing table, what you really do is adding rows to a partition, so adding rows to many tables means adding rows to several partitions. The particular condition you have in this case is that every partition in which you add rows belongs to a different table. Adding rows implies using the ProcessAdd command; its QueryBinding parameter specifies a SQL syntax to read new rows, otherwise the original query specified for the partition will be used, and it could generate duplicated data if you don’t have a dynamic behavior on the SQL side. If you create the required XMLA code manually, you will find that the QueryBinding node that should be part of the ProcessAdd command has to be moved out from ProcessAdd in case you are using a Batch command with more than one Process command (which is the reason why you want to use a single batch: run multiple process operations in parallel!). If you use AMO (Analysis Management Objects) you will find that this combination is not supported, even if you don’t have a syntax error compiling the code, but you might obtain this error at execution time: The syntax for the 'Process' command is incorrect. The 'Bindings' keyword cannot appear under a 'Process' command if the 'Process' command is a part of a 'Batch' command and there are more than one 'Process' commands in the 'Batch' or the 'Batch' command contains any out of line related information. In this case, the 'Bindings' keyword should be a part of the 'Batch' command only. If this is happening to you, the best solution I’ve found is manipulating the XMLA code generated by AMO moving the Binding nodes in the right place. A more detailed description of the issue and the code required to send a correct XMLA batch to Analysis Services is available in my article Parallelize ProcessAdd with AMO. By the way, the same technique (and code) can be used also if you have the same problem in a Multidimensional model.

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  • Who Are the BI Users in Your Neighborhood?

    - by [email protected]
    By Brian Dayton on March 19, 2010 10:52 PM Forrester's Boris Evelson recently wrote a blog titled "Who are the BI Personas?" that I enjoyed for a number of reasons. It's a quick read, easy to grasp and (refreshingly) focuses on the users of technology VS the technology. As Evelson admits, he meant to keep the reference chart at a high-level because there are too many different permutations and additional sub-categories to make such a chart useful. For me, I wouldn't head into the technical permutations but more the contextual use of BI and the issues that users experience. My thoughts brought up more questions than answers such as: Context: - HOW: With the exception of the "Power User" persona--likely some sort of business or operations analyst? - WHEN: Are they using the information to make real-time decisions on the front lines (a customer service manager or shipping/logistics VP) or are they using this information for cumulative analysis and business planning? Or both? - WHERE: What areas of the business are more or less likely to rely on BI across an organization? Human Resources, Operations, Facilities, Finance--- and why are some more prone to use data-driven analysis than others? Issues: - DELAYS & DRAG ON IT?: One of the persona characteristics Evelson calls out is a reliance on IT. Every persona except for the "Power User" has a heavy reliance on IT for support. What business issues or delays does that cause to users? What is the drag on IT resources who could potentially be creating instead of reporting? - HOW MANY CLICKS: If BI is being used within the context of a transaction (sales manager looking for upsell opportunities as an example) is that person getting the information within the context of that action or transaction? Or are they minimizing screens, logging into another application or reporting tool, running queries, etc.? Who are the BI Users in your neighborhood or line of business? Do Evelson's personas resonate--and do the tools that he calls out (he refers to it as "BI Style") resonate with what your personas have or need? Finally, I'm very interested if BI use is viewed as a bolt-on...or an integrated part of your daily enterprise processes?

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  • Create association between informations

    - by Andrea Girardi
    I deployed a project some days ago that allow to extract some medical articles using the results of a questionnaire completed by a user. For instance, if I reply on questionnaire I'm affected by Diabetes type 2 and I'm a smoker, my algorithm extracts all articles related to diabetes bubbling up all articles contains information about Diabetes type 2 and smoking. Basically we created a list of topic and, for every topic we define a kind of "guideline" that allows to extract and order informations for a user. I'm quite sure there are some better way to put on relationship two content but I was not able to find them on network. Could you suggest my a model, algorithm or paper to better understand this kind of problem and that helps me to find a faster, and more accurate way to extract information for an user?

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  • Microeconomical simulation: coordination/planning between self-interested trading agents

    - by Milton Manfried
    In a typical perfect-information strategy game like Chess, an agent can calculate its best move by searching the state tree for the best possible move, while assuming that the opponent will also make the best possible move (i.e. Mini-max). I would like to use this approach in a "game" modeling economic activity, where the possible "moves" would be to buy or sell for a given price, and the goal, rather than a specific class of states (e.g. Checkmate), would be to maximize some function F of the agent's state (e.g. F(money, widget) = 10*money + widget). How to handle buy/sell actions that require coordination between both parties, at the very least agreement upon a price? The cheap way out would be to set the price beforehand, maybe based upon the current supply -- but the idea of this simulation is to examine how prices emerge when freely determined by "perfectly rational" agents. A great example of what I do not want is the trading algorithm in SugarScape -- paraphrasing from Growing Artificial Societies p101-102: when a pair of agents interact to trade, they each compute their internal valuations of the goods, then a bargaining process is conducted and a price is agreed to. If this price makes both agents better off, they complete the transaction The protocol itself is beautiful, but what it cannot capture (as far as I can tell) is the ability for an agent to pay more than it might otherwise for a good, because it knows that it can sell it for even more at a later date -- what appears to be called "strategic thinking" in this pape at Google Books Multi-Agent-Based Simulation III: 4th International Workshop, MABS 2003... to get realistic behavior like that, it seems one would either (1) have to build an outrageously-complex internal valuation system which could at best only cover situations that were planned for at compile-time, or otherwise (2) have some mechanism to search the state tree... which would require some way of planning future trades. Note: The chess analogy only works as far as the state-space search goes; the simulation isn't intended to be "zero sum", so a literal mini-max search wouldn't be appropriate -- and ideally, it should work with more than two agents.

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  • What's the best/most efficent way to create a semi-intelligent AI for a tic tac toe game?

    - by Link
    basically I am attempting to make a a efficient/smallish C game of Tic-Tac-Toe. I have implemented everything other then the AI for the computer so far. my squares are basically structs in an array with an assigned value based on the square. For example s[1].value = 1; therefore it's a x, and then a value of 3 would be a o. My question is whats the best way to create a semi-decent game playing AI for my tic-tac-toe game? I don't really want to use minimax, since It's not what I need. So how do I avoid a a lot of if statments and make it more efficient. Here is the rest of my code: #include <stdio.h> #include <stdlib.h> #include <string.h> #include <time.h> struct state{ // defined int state; // 0 is tie, 1 is user loss, 2 is user win, 3 is ongoing game int moves; }; struct square{ // one square of the board int value; // 1 is x, 3 is o char sign; // no space used }; struct square s[9]; //set up the struct struct state gamestate = {0,0}; //nothing void setUpGame(){ // setup the game int i = 0; for(i = 0; i < 9; i++){ s[i].value = 0; s[i].sign = ' '; } gamestate.moves=0; printf("\nHi user! You're \"x\"! I'm \"o\"! Good Luck :)\n"); } void displayBoard(){// displays the game board printf("\n %c | %c | %c\n", s[6].sign, s[7].sign, s[8].sign); printf("-----------\n"); printf(" %c | %c | %c\n", s[3].sign, s[4].sign, s[5].sign); printf("-----------\n"); printf(" %c | %c | %c\n\n", s[0].sign, s[1].sign, s[2].sign); } void getHumanMove(){ // get move from human int i; while(1){ printf(">>:"); char line[255]; // input the move to play fgets(line, sizeof(line), stdin); while(sscanf(line, "%d", &i) != 1) { //1 match of defined specifier on input line printf("Sorry, that's not a valid move!\n"); fgets(line, sizeof(line), stdin); } if(s[i-1].value != 0){printf("Sorry, That moves already been taken!\n\n");continue;} break; } s[i-1].value = 1; s[i-1].sign = 'x'; gamestate.moves++; } int sum(int x, int y, int z){return(x*y*z);} void getCompMove(){ // get the move from the computer } void checkWinner(){ // check the winner int i; for(i = 6; i < 9; i++){ // check cols if((sum(s[i].value,s[i-3].value,s[i-6].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[i].value,s[i-3].value,s[i-6].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } for(i = 0; i < 7; i+=3){ // check rows if((sum(s[i].value,s[i+1].value,s[i+2].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[i].value,s[i+1].value,s[i+2].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } if((sum(s[0].value,s[4].value,s[8].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[0].value,s[4].value,s[8].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} if((sum(s[2].value,s[4].value,s[6].value)) == 8){printf("The Winner is o!\n");gamestate.state=1;} if((sum(s[2].value,s[4].value,s[6].value)) == 1){printf("The Winner is x!\n");gamestate.state=2;} } void playGame(){ // start playing the game gamestate.state = 3; //set-up the gamestate srand(time(NULL)); int temp = (rand()%2) + 1; if(temp == 2){ // if two comp goes first temp = (rand()%2) + 1; if(temp == 2){ s[4].value = 2; s[4].sign = 'o'; gamestate.moves++; }else{ s[2].value = 2; s[2].sign = 'o'; gamestate.moves++; } } displayBoard(); while(gamestate.state == 3){ if(gamestate.moves<10); getHumanMove(); if(gamestate.moves<10); getCompMove(); checkWinner(); if(gamestate.state == 3 && gamestate.moves==9){ printf("The game is a tie :p\n"); break; } displayBoard(); } } int main(int argc, const char *argv[]){ printf("Welcome to Tic Tac Toe\nby The Elite Noob\nEnter 1-9 To play a move, standard numpad\n1 is bottom-left, 9 is top-right\n"); while(1){ // while game is being played printf("\nPress 1 to play a new game, or any other number to exit;\n>>:"); char line[255]; // input whether or not to play the game fgets(line, sizeof(line), stdin); int choice; // user's choice about playing or not while(sscanf(line, "%d", &choice) != 1) { //1 match of defined specifier on input line printf("Sorry, that's not a valid option!\n"); fgets(line, sizeof(line), stdin); } if(choice == 1){ setUpGame(); // set's up the game playGame(); // Play a Game }else {break;} // exit the application } printf("\nThank's For playing!\nHave a good Day!\n"); return 0; }

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  • Searching for entity awareness in 3D space algorithm and data structure

    - by Khanser
    I'm trying to do some huge AI system just for the fun and I've come to this problem. How can I let the AI entities know about each other without getting the CPU to perform redundant and costly work? Every entity has a spatial awareness zone and it has to know what's inside when it has to decide what to do. First thoughts, for every entity test if the other entities are inside the first's reach. Ok, so it was the first try and yep, that is redundant and costly. We are working with real time AI over 10000+ entities so this is not a solution. Second try, calculate some grid over the awareness zone of every entity and test whether in this zones are entities (we are working with 3D entities with float x,y,z location coordinates) testing every point in the grid with the indexed-by-coordinate entities. Well, I don't like this because is also costly, but not as the first one. Third, create some multi linked lists over the x's and y's indexed positions of the entities so when we search for an interval between x,y and z,w positions (this interval defines the square over the spatial awareness zone) over the multi linked list, we won't have 'voids'. This has the problem of finding the nearest proximity value if there isn't one at the position where we start the search. I'm not convinced with any of the ideas so I'm searching for some enlightening. Do you people have any better ideas?

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  • What's the best way to learn image processing?

    - by rdasxy
    I'm a senior in college that hasn't done much image processing before (except for some basic image compression on smartphones). I'm starting a research project on machine learning next semester that would require some biomedical image processing. What's the best way to get up to speed with the basics of image processing in about two months? Or is this impractical? It's my impression that once I'm good with the basics learning more from other resources would be easier.

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  • Neural network input preprocessing

    - by TND
    It's clear that the effectiveness of a neural network depends strongly on the format you give it to work with. You want to preprocess it into the most convenient form you can algorithmically get to, so that the neural network doesn't have to account for that itself. I'm working on a little project that (surprise!) is going to be using neural networks. My future goal is to eventually use NEAT, which I'm really excited about. Anyway, one of my ideas involves moving entities in continuous 2D space, from a top-down perspective (this would be a really cool game AI). Of course, unless these guys are blind, they're going to be able to see the world around them. There's a lot of different ways this information could be fed into the network. One interesting but expensive way is to simply render a top-down "view" of things, with the entities as dots on the picture, and feed that in. I was hoping for something much simpler to use (at least at first), such as a list of the x (maybe 7 or so) nearest entities and their position in relative polar coordinates, orientation, health, etc., but I'm trying to think of the best way to do it. My first instinct was to order them by distance, which would inherently also train the neural network to consider those more "important". However, I was thinking- what if there's two entities that are nearly the same distance away? They could easily alternate indexes in that list, confusing the network. My question is, is there a better way of representing this? Essentially, the issue is the network needs a good way of keeping track of who's who, while knowing (by being inputted) relevant information about the list of entities it can see. Thanks!

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  • Given two sets of DNA, what does it take to computationally "grow" that person from a fertilised egg and see what they become? [closed]

    - by Nicholas Hill
    My question is essentially entirely in the title, but let me add some points to prevent some "why on earth would you want to do that" sort of answers: This is more of a mind experiment than an attempt to implement real software. For fun. Don't worry about computational speed or the number of available memory bytes. Computers get faster and better all of the time. Imagine we have two data files: Mother.dna and Father.dna. What else would be required? (Bonus point for someone who tells me approx how many GB each file will be, and if the size of the files are exactly the same number of bytes for everyone alive on Earth!) There would ideally need to be a way to see what the egg becomes as it becomes a human adult. If you fancy, feel free to outline the design. I am initially thinking that there'd need to be some sort of volumetric voxel-based 3D environment for simulation purposes.

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  • Getting started with object detection - Image segmentation algorithm

    - by Dev Kanchen
    Just getting started on a hobby object-detection project. My aim is to understand the underlying algorithms and to this end the overall accuracy of the results is (currently) more important than actual run-time. I'm starting with trying to find a good image segmentation algorithm that provide a good jump-off point for the object detection phase. The target images would be "real-world" scenes. I found two techniques which mirrored my thoughts on how to go about this: Graph-based Image Segmentation: http://www.cs.cornell.edu/~dph/papers/seg-ijcv.pdf Contour and Texture Analysis for Image Segmentation: http://www.eng.utah.edu/~bresee/compvision/files/MalikBLS.pdf The first one was really intuitive to understand and seems simple enough to implement, while the second was closer to my initial thoughts on how to go about this (combine color/intensity and texture information to find regions). But it's an order of magnitude more complex (at least for me). My question is - are there any other algorithms I should be looking at that provide the kind of results that these two, specific papers have arrived at. Are there updated versions of these techniques already floating around. Like I mentioned earlier, the goal is relative accuracy of image segmentation (with an eventual aim to achieve a degree of accuracy of object detection) over runtime, with the algorithm being able to segment an image into "naturally" or perceptually important components, as these two algorithms do (each to varying extents). Thanks! P.S.1: I found these two papers after a couple of days of refining my search terms and learning new ones relevant to the exact kind of techniques I was looking for. :) I have just about reached the end of my personal Google creativity, which is why I am finally here! Thanks for the help. P.S.2: I couldn't find good tags for this question. If some relevant ones exist, @mods please add them. P.S.3: I do not know if this is a better fit for cstheory.stackexchange (or even cs.stackexchange). I looked but cstheory seems more appropriate for intricate algorithmic discussions than a broad question like this. Also, I couldn't find any relevant tags there either! But please do move if appropriate.

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  • Have You Downloaded SQL Server 2012 Evaluation Edition? Why Not?!

    - by andyleonard
    I am installing SQL Server 2012 Evaluation Edition on a virtual machine as I type. You can do this. Here’s one way: Grab some virtual machine software. I like Oracle VirtualBox . It’s cool. It’s free. Install VirtualBox. Download the 180-day free trial of Windows Server 2008 R2 . Also cool. Also free. Once Windows Server 2008 R2 is downloaded, build a VirtualBox VM. Download and install SQL Server 2012 Evaluation Edition ! That’s all there is to it. You can get started today, no need to wait until...(read more)

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  • User intentions analysis

    - by Mark Bramnik
    I'm going to work on some project that would do a user-action recognition based on what he/she does in the system. As far as I understand there are two main parts here: Intercept the user actions (say http traffic in web/ui interaction in thick-client) analysis of user intentions. While the first part is rather technical and therefor easy to implement, the second one is AI related and can be academic. So I was wondering whether someone knows some third-parties/academic projects that would implement the 'action-recognition' stuff?

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  • Mahout - Clustering - "naming" the cluster elements

    - by Mark Bramnik
    I'm doing some research and I'm playing with Apache Mahout 0.6 My purpose is to build a system which will name different categories of documents based on user input. The documents are not known in advance and I don't know also which categories do I have while collecting these documents. But I do know, that all the documents in the model should belong to one of the predefined categories. For example: Lets say I've collected a N documents, that belong to 3 different groups : Politics Madonna (pop-star) Science fiction I don't know what document belongs to what category, but I know that each one of my N documents belongs to one of those categories (e.g. there are no documents about, say basketball among these N docs) So, I came up with the following idea: Apply mahout clustering (for example k-mean with k=3 on these documents) This should divide the N documents to 3 groups. This should be kind of my model to learn with. I still don't know which document really belongs to which group, but at least the documents are clustered now by group Ask the user to find any document in the web that should be about 'Madonna' (I can't show to the user none of my N documents, its a restriction). Then I want to measure 'similarity' of this document and each one of 3 groups. I expect to see that the measurement for similarity between user_doc and documents in Madonna group in the model will be higher than the similarity between the user_doc and documents about politics. I've managed to produce the cluster of documents using 'Mahout in Action' book. But I don't understand how should I use Mahout to measure similarity between the 'ready' cluster group of document and one given document. I thought about rerunning the cluster with k=3 for N+1 documents with the same centroids (in terms of k-mean clustering) and see whether where the new document falls, but maybe there is any other way to do that? Is it possible to do with Mahout or my idea is conceptually wrong? (example in terms of Mahout API would be really good) Thanks a lot and sorry for a long question (couldn't describe it better) Any help is highly appreciated P.S. This is not a home-work project :)

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  • Ad-hoc reporting similar to Microstrategy/Pentaho - is OLAP really the only choice (is OLAP even sufficient)?

    - by TheBeefMightBeTough
    So I'm getting ready to develop an API in Java that will provide all dimensions, metrics, hierarchies, etc to a user such that they can pick and choose what they want (say, e.g., dimensions of Location (a store) and Weekly, and the metric Product Sales $), provide their choices to the api, and have it spit out an object that contains the answer to their question (the object would probably be a set of cells). I don't even believe there will be much drill up/down. The data warehouse the APIwill interface with is in a standard form (FACT tables, dimensions, star schema format). My question is, is an OLAP framework such as Mondrian the only way to achieve something akin to ad-hoc reporting? I can envisage a really large Cube (or VirtualCube) that contains most of the dimensions and metrics the user could ever want, which would give the illusion of ad-hoc reporting. The problem is that there is a ton of setup to do (so much XML) to get the framework to work with the data. Further it requires specific knowledge, such as MDX, and even moreso learning the framework peculiars (Mondrian API). Finally, I am not positive it will scale much better than simply making queries against a SQL database. OLAP to me feels like very old technology. Is performance really an issue anymore? The alternative I can think of would be dynamic SQL. If the existing tables in the data warehouse conform to a naming scheme (FACT_, DIM_, etc), or if a very simple config file/ database table containing config information existed that stored which tables are fact tables, which are dimensions, and what metrics are available, then couldn't the api read from that and assembly the appropriate sql query? Would this necessarily be harder than learning MDX, Mondrian (or another OLAP framework), and creating all the cubes? In general, I feel that OLAP is at the same time too powerful (supports drill up/down, complex functions) and outdated and am reluctant to base my architecture on it. However, I am unsure if the alternative(s), such as rolling my own ad-hoc reporting framework using dynamic SQL would remove any complexity while still fulfilling requirements, both functional and non-functional (e.g., scalability; some FACT tables have many millions of rows). I also wonder about other techniques (e.g., hive). Has anyone here tried to do ad-hoc reporting? Any advice? I expect this project to take a pretty long time (3 months min, but probably longer), so I just do not want to commit to an architecture without being absolutely sure of its pros and cons. Thanks so much.

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  • Type of AI to tackle this problem?

    - by user1154277
    I posted this on stackoverflow but want to get your recommendations as well as a user on overflow recommended I post it here. I'm going to say from the beginning that I am not a programmer, I have a cursory knowledge of different types of AI and am just a businessman building a web app. Anyways, the web app I am investing in to develop is for a hobby of mine. There are many part manufacturers, product manufacturers, upgrade and addon manufacturers etc. for hardware/products in this hobby's industry. Currently, I am in the process of building a crowd sourced platform for people who are knowledgeable to go in and mark up compatibility between those parts as its not always clear cut if they are for example: Manufacturer A makes a "A" class product, and manufacturer B makes upgrade/part that generally goes with class "A" products, but is for one reason or another not compatible with Manufacturer A's particular "A" class product. However, a good chunk (60%-70%) of the products/parts in the database can have their compatibility inferenced by their properties, For example: Part 1 is type "A" with "X" mm receiver and part 2 is also Type "A" with "X" mm interface and thus the two parts are compatible.. or Part 1 is a 8mm gear, thus all bushings of 8mm from any manufacturer is compatible with part 1. Further more, all gears can only have compatibility relationships in the database with bushing and gear boxes, but there can be no meaningful compatibility between a gear and a rail, or receiver since those parts don't interface. Now what I want is an AI to be able to learn from the decisions of the crowdsourced platform community and be able to inference compatibility for new parts/products based on their tagged attributes, what type of part they are etc. What would be the best form of AI to tackle this? I was thinking a Expert System, but explicitly engineering all of the knowledge rules would be daunting because of the complex relations between literally tens of thousands of parts, hundreds of part types and many manufacturers. Would a ANN (neural network) be ideal to learn from the many inputs/decisions of the crowdsource platform users? Any help/input is much appreciated.

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  • SSIS is Case-Sensitive

    - by andyleonard
    Introduction SSIS is case-sensitive even if the database is case-insensitive. Imagine... ... you work in an ETL shop where someone who believes in natural keys won the Battle of the Joins. Imagine one of your natural keys is a string. (I know it's a stretch... play along!). Let's build some tables to sketch it out. If you do not have a TestDB database, why not? Build one! You'll use it often. Use TestDB go Create Table SSIS1 ( StrID char ( 5 ) , Name varchar ( 15 ) , Value int ) Insert Into SSIS1...(read more)

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  • Developing AI for warhammer board game [closed]

    - by josemanuel
    right now I'm going to develop a simple AI for some units for the board game warhammer fantasy. With some simple rules, I've read some things such as http://gamedev.stackexchange.com/questions/21519/complex-game-ai-for-turn-based-strategy-games . I have the robots to move the pieces, the map is just simple(no hills,buildings..) and I need to start to give an AI for the robot to move the pieces. Problem is I have been searching for a long time and can't really find someone that has done something similar with warhammer, and I don't really know where to begin with or which tools I need to use. I would be glad if someone can give me some headsup on how to begin with, or if any programming language is better, not to mention if there is something similar where I could ask for help.

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  • What Does Google Social Search Mean For Website Optimisation?

    Google's latest output, Social Search, allows users to search for information via their personal connections on Twitter and other networking sites. With social search rapidly growing in popularity, the idea is basically to get the input of a user's friends, rather than anonymous websites. Social search results are incorporated right into those of a normal search engine results page (SERP) similar to how images, videos and other content are currently integrated into regular listings.

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  • In Case You Weren’t There: Blogwell NYC

    - by Mike Stiles
    0 0 1 1009 5755 Vitrue 47 13 6751 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman";} Your roving reporter roved out to another one of Socialmedia.org’s fantastic Blogwell events, this time in NYC. As Central Park and incredible weather beckoned, some of the biggest brand names in the world gathered to talk about how they’re incorporating social into marketing and CRM, as well as extending social across their entire organizations internally. Below we present a collection of the live tweets from many of the key sessions GE @generalelectricJon Lombardo, Leader of Social Media COE How GE builds and extends emotional connections with consumers around health and reaps the benefits of increased brand equity in the process. GE has a social platform around Healthyimagination to create better health for people. If you and a friend are trying to get healthy together, you’ll do better. Health is inherently. Get health challenges via Facebook and share with friends to achieve goals together. They’re creating an emotional connection around the health context. You don’t influence people at large. Your sphere of real influence is around 5-10 people. They find relevant conversations about health on Twitter and engage sounding like a friend, not a brand. Why would people share on behalf of a brand? Because you tapped into an activity and emotion they’re already having. To create better habits in health, GE gave away inexpensive, relevant gifts related to their goals. Create the context, give the relevant gift, get social acknowledgment for giving it. What you get when you get acknowledgment for your engagement and gift is user generated microcontent. GE got 12,000 unique users engaged and 1400 organic posts with the healthy gift campaign. The Dow Chemical Company @DowChemicalAbby Klanecky, Director of Digital & Social Media Learn how Dow Chemical is finding, training, and empowering their scientists to be their storytellers in social media. There are 1m jobs coming open in science. Only 200k are qualified for them. Dow Chemical wanted to use social to attract and talk to scientists. Dow Chemical decided to use real scientists as their storytellers. Scientists are incredibly passionate, the key ingredient of a great storyteller. Step 1 was getting scientists to focus on a few platforms, blog, Twitter, LinkedIn. Dow Chemical social flow is Core Digital Team - #CMs – ambassadors – advocates. The scientists were trained in social etiquette via practice scenarios. It’s not just about sales. It’s about growing influence and the business. Dow Chemical trained about 100 scientists, 55 are active and there’s a waiting list for the next sessions. In person social training produced faster results and better participation. Sometimes you have to tell pieces of the story instead of selling your execs on the whole vision. Social Media Ethics Briefing: Staying Out of TroubleAndy Sernovitz, CEO @SocialMediaOrg How do we get people to share our message for us? We have to have their trust. The difference between being honest and being sleazy is disclosure. Disclosure does not hurt the effectiveness of your marketing. No one will get mad if you tell them up front you’re a paid spokesperson for a company. It’s a legal requirement by the FTC, it’s the law, to disclose if you’re being paid for an endorsement. Require disclosure and truthfulness in all your social media outreach. Don’t lie to people. Monitor the conversation and correct misstatements. Create social media policies and training programs. If you want to stay safe, never pay cash for social media. Money changes everything. As soon as you pay, it’s not social media, it’s advertising. Disclosure, to the feds, means clear, conspicuous, and understandable to the average reader. This phrase will keep you in the clear, “I work for ___ and this is my personal opinion.” Who are you? Were you paid? Are you giving an honest opinion based on a real experience? You as a brand are responsible for what an agency or employee or contactor does in your behalf. SocialMedia.org makes available a Disclosure Best Practices Toolkit. Socialmedia.org/disclosure. The point is to not ethically mess up and taint social media as happened to e-mail. Not only is the FTC cracking down, so is Google and Facebook. Visa @VisaNewsLucas Mast, Senior Business Leader, Global Corporate Social Media Visa built a mobile studio for the Olympics for execs and athletes. They wanted to do postcard style real time coverage of Visa’s Olympics sponsorships, and on a shoestring. Challenges included Olympic rules, difficulty getting interviews, time zone trouble, and resourcing. Another problem was they got bogged down with their own internal approval processes. Despite all the restrictions, they created and published a variety of and fair amount of content. They amassed 1000+ views of videos posted to the Visa Communication YouTube channel. Less corporate content yields more interest from media outlets and bloggers. They did real world video demos of how their products work in the field vs. an exec doing a demo in a studio. Don’t make exec interview videos dull and corporate. Keep answers short, shoot it in an interesting place, do takes until they’re comfortable and natural. Not everything will work. Not everything will get a retweet. But like the lottery, you can’t win if you don’t play. Promoting content is as important as creating it. McGraw-Hill Companies @McGrawHillCosPatrick Durando, Senior Director of Global New Media McGraw-Hill has 26,000 employees. McGraw-Hill created a social intranet called Buzz. Intranets create operational efficiency, help product dev, facilitate crowdsourcing, and breaks down geo silos. Intranets help with talent development, acquisition, retention. They replaced the corporate directory with their own version of LinkedIn. The company intranet has really cut down on the use of email. Long email threats become organized, permanent social discussions. The intranet is particularly useful in HR for researching and getting answers surrounding benefits and policies. Using a profile on your company intranet can establish and promote your internal professional brand. If you’re going to make an intranet, it has to look great, work great, and employees are going have to want to go there. You can’t order them to like it. 

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  • PHP API for access social networks

    - by War Coder
    hello guys, am looking for a php api that can access social networks like facebook,myspace,orkut and so many more of them. I should be able to upload pictures and videos to my favourite social networking account and also post get updates from thems, change status, make comments and similar stuffs. Just wondering if there is anything like that or similar to it. Thanks.

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  • Can you Trust Search?

    - by David Dorf
    An awful lot of referrals to e-commerce sites come from web searches. Retailers rely on search engine optimization (SEO) to correctly position their website so they can be found. Search on "blue jeans" and the results are determined by a semi-secret algorithm -- in my case Levi.com, Banana Republic, and ShopStyle show up. The NY Times recently uncovered a situation where JCPenney, via third-parties hired to help with SEO, was caught manipulating search results so they were erroneously higher in page rankings. No doubt this helped drive additional sales during this part Christmas. The article, The Dirty Little Secrets of Search, is well worth reading. My friend Ron Kleinman started an interesting discussion at the ARTS Linkedin forum. He posed the question: The ability of a single company to "punish" any retailer (by significantly impacting their on-line sales volume) who does not play by their rules ... is this a good thing or a bad thing? Clearly JCP was in the wrong and needed to be punished, but should that decision lie with Google alone? Don't get me wrong -- I'm certainly not advocating we create a Department of Search where bureaucrats think of ways to spend money, but Google wields an awful lot of power in this situation, and it makes me feel uncomfortable. Now Google is incorporating more social aspects into their search results. For example, when Google knows its me (i.e. I'm logged in when using Google) search results will be influenced by my Twitter network. In an effort to increase relevance, the blogs and re-tweeted articles from my network will be higher in the search results than they otherwise would be. So in the case of product searches, things discussed in my network will rise to the top. Continuing my blue jean example, if someone in my network had been discussing Macy's perhaps they would now be higher in the result set. soapbox: I already have lots of spammers posting bogus comments to this blog in an effort to create additional links to their sites and thus increase their search ranking. Should I expect a similar situation in Twitter and eventually Facebook? Now retailers need to expand their SEO efforts to incorporate social media as well, but do us all a favor and please don't cheat.

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