New Posts For Thread: Is information causal?http://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causalIn this analysis both aspects of information - its structure or syntax - and its more common usage as - meaningful data, which can be communicated as a message - need to be considered. The first is formal information as governed by the math of the MThat is expressed, far better than I have. I may be gibbering from time-to-time and surely I admit to speaking Geek (more than Greek).However, that doesn't stop me when I think I have my teeth in a difficult problem.There is a draft of a brand new phttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528824797#528824797That is expressed, far better than I have. I may be gibbering from time-to-time and surely I admit to speaking Geek (more than Greek).However, that doesn't stop me when I think I have my teeth in a difficult problem.There is a draft of a brand new pWed, 06 Feb 2013 19:04:12 -0600ncgThey is no Truth in physics - only patterns that can be logically applied in computation. 'Truth' in physics refers to our best understanding for the time being as found in the consensus of relevant physicists. Thus eg our theory of gravity is inhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528823455#528823455ncgThey is no Truth in physics - only patterns that can be logically applied in computation. 'Truth' in physics refers to our best understanding for the time being as found in the consensus of relevant physicists. Thus eg our theory of gravity is inWed, 06 Feb 2013 17:51:53 -0600I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528820167#528820167I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofWed, 06 Feb 2013 15:36:26 -0600Truth tables don't express premises, they are a spelled out process for computation with Boolean analysis. I understand what you are saying and actually agree. The propensities in physics are empirical from data and the Boolean nature of the computhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528817721#528817721Truth tables don't express premises, they are a spelled out process for computation with Boolean analysis. I understand what you are saying and actually agree. The propensities in physics are empirical from data and the Boolean nature of the computWed, 06 Feb 2013 14:24:52 -0600Adelphe,141.14.165.6/CogSci09/papers/277/paper27...http://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528815411#528815411Adelphe,141.14.165.6/CogSci09/papers/277/paper27...Wed, 06 Feb 2013 13:17:29 -0600scgtruth tables can tell us about propensityTruth tables are no better than their premises. The only way a premise can be true is by according accurately with reality. The only way to tell whether it accords with reality is by looking at reality, nhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528765085#528765085scgtruth tables can tell us about propensityTruth tables are no better than their premises. The only way a premise can be true is by according accurately with reality. The only way to tell whether it accords with reality is by looking at reality, nMon, 04 Feb 2013 15:41:11 -0600OK thanks.The idea is - one can have very similar versions of propensity - whether it is deterministic physical laws, where the cause is generated by the propensity of the science laws....................And when it is used at the different level ohttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528758133#528758133OK thanks.The idea is - one can have very similar versions of propensity - whether it is deterministic physical laws, where the cause is generated by the propensity of the science laws....................And when it is used at the different level oMon, 04 Feb 2013 11:44:04 -0600I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528757783#528757783I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofMon, 04 Feb 2013 11:28:41 -0600sdpThank you for your comment. It wasn't just my impression, then ...MdShttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528728229#528728229sdpThank you for your comment. It wasn't just my impression, then ...MdSSun, 03 Feb 2013 11:45:32 -0600I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofhttp://community.beliefnet.com/go/thread/view/43991/28472469/Is_information_causal?post_id=528719915#528719915I hope you have put to bed the idea that randomness, is any kind of problem in defining Propensity as a descriptor in the generation of caus[a]tive models. Randomness can be seen as a lack of measured propensity in the data or a lack of selection ofSun, 03 Feb 2013 07:17:51 -0600