The Griffin is a short range air to surface missile developed by Raytheon for UAV s. ref http intelfusion.net wordpress ?p 316 Who paid Raytheon to develop the Griffin missile for Predator UAVs? Intelfusion, June 15th 2008 ref It is tube launched, with a 5.5 inches diameter, weighs 45 pounds, and has a semi active laser seeker . It has a 13 lb warhead , ref http www.defensenews.com story.php?i 4649372&c FEA&s TEC Smaller, Cheaper, Lighter William Matthews, Defense News, 31 May 2010 ref smaller than the AGM 114 Hellfire Hellfire typically used by armed UAV s, which has the effect of reducing the potential for collateral damage . The Griffin missile and launch assembly is also significantly lighter than the AGM 114 Hellfire Hellfire , allowing more to be mounted on the payload limited MQ 1 Predator Predator A . ref http www.aviationweek.com aw generic story generic.jsp?channel dti&id news DTI UAVs.xml&headline Efforts 20Are 20Underway 20to 20Arm 20Small 20UAVs Efforts Are Underway to Arm Small UAVs Aviation Week, Oct 17, 2008 ref Raytheon has developed it as a low cost modular system, using components from earlier projects, among others the FGM 148 Javelin and the AIM 9X Sidewinder. Specifications Diameter 5.5 in Weight 45 pounds Length 42 in Guidance Semi active laser homing Warhead 13 pounds Propulsion Solid fuel rocket Launch platforms MQ 1 Predator ref cite web url http www.aviationweek.com aw generic story.jsp?id news GRIFFIN061308.xml&headline Small 20Raytheon 20Missile 20Deployed 20On 20Predator&channel defense title Small Raytheon Missile Deployed On Predator last Warwick first Graham publisher Aviation Week date June 13, 2008 ref MC 130 MC 130W Combat Spear Littoral Combat Ship As of Jan 2011, there is speculation about a Griffin variant being the likely replacement for the XM501 Non Line of Sight Launch System NLOS missile on the USN USN s LCSs. ref cite web url http www.dodbuzz.com 2011 01 11 navy close to choosing griffin missile for lcs title Navy Close t ... more details
Cleanup date June 2008 A learning classifier system , or LCS, is a machine learning system with close links to reinforcement learning and genetic algorithms . First described by John Henry Holland John Holland , his LCS consisted of a population of binary rules on which a genetic algorithm altered and selected the best rules. Rule fitness was based on a reinforcement learning technique. Learning classifier systems can be split into two types depending upon where the genetic algorithm acts. A Pittsburgh type LCS has a population of separate rule sets, where the genetic algorithm recombines and reproduces the best of these rule sets. In a Michigan style LCS there is only a single population and the algorithm s action focuses on selecting the best classifiers within that ruleset. Michigan style LCSs have two main types of fitness definitions, strength based e.g. ZCS and accuracy based e.g. XCS . The term learning classifier system most often refers to Michigan style LCSs. Initially the classifiers or rules were Wiktionary binary binary , but recent research has expanded this representation to include real valued, neural network , and functional S expression conditions. Learning classifier systems are not fully understood mathematics mathematically and doing so remains an area of active research. Despite this, they have been successfully applied in many problem domains. Overview A learning classifier system LCS is an adaptive system that learns to perform the best action given its input. By best is generally meant the action that will receive the most reward or reinforcement from the system s environment. By input is meant the environment as sensed by the system, usually a vector of numerical values. The set of available actions depends on the s a decision context, for instance a financial one, the actions might be buy , sell , etc. In general, an LCS is a simple model of an intelligent agent interacting with an environment. An LCS is adaptive in the sense that its abil ... more details
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