Retraice is about what's going on out there. Our point of departure is the concept of intelligence—natural, artificial, and strategic. Subscribe at https://paid.retraice.com for access to all segments.
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An entry in the history books of the future.
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Details: ChatGPT is what?; the price of some labor to zero; confidence; AOSE; asking it to do something useful; …
frontier is a PriorityQueue which is built on heapq and uses f to create (score, item) pairs to be queued.
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Details: Complete notes and video at: https://www.…
Making BFS and PriorityQueue chatty to increase our confidence in their output.
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Details: printing messages to reveal the workings of BFS and PriorityQueue; t…
Examining Nodes and their handling by PriorityQueue.
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Details: changing f and iterating a Node; discovering the Node repr method. Complete notes and video at:…
From best_first_search to Node to PriorityQueue to frontier.
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Details: stepping through BFS and PriorityQueue; frontier.items. Complete notes and video at: ht…
Trying to make PriorityQueue work by fiddling with evaluation functions.
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Details: getting best first search to run; a success of sorts. Complete notes and vi…
How instantiations of Map work.
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Details: a Map has locations, neighbors and distances; tmap's locations, neighbors and distances. Complete notes and video at…
How multimap works.
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Details: various prefatory remarks; multimap creates a dictionary of actions. Complete notes and video at: https://www.retraice.com/segme…
Finishing what we started with multimap.
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Details: stepping through multimap; demonstrating the Map-multimap side-effects. Complete notes and video at: https:…
Unpacking the code that gets us the neighbors of our current state which are the actions available in the Romania problem.
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Details: Map and multimap; the sid…
Getting used to the components of a search problem and algorithm implemented in Python.
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Details: Problem and RouteProblem; Map, multimap and romania; best_fi…
Looking ahead at the code we'll need.
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Details: expand(problem, node) dependencies; the RouteProblem example; looking ahead at BEST-FIRST-SEARCH implemented. …
Writing, as a class in Python, a data structure to represent a reached state in the environment's state space.
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Details: the structure of a node; nodes as cla…
Writing a well-defined problem, in Python, as an object that's an instance of the class Problem.
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Details: the structure of a 'problem'; 'Problem' implemented…
Using sets and functions to formalize problems.
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Details: the 'problem' in the pseudocode; formalizing a search 'problem'. Complete notes and video at: https:…
Naturally evolved intelligent entities are the origin of the other kinds.
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Details: Re10—Living to Guess Another Day; Re11—Travel; Re12—Aliens and Trouble; Re…
A first pass at the phenomena of artifacts, machines and goals.
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Details: Re6—Interface; Re7—Artifactual Goals; Re8—Strange Machines; Re9—They Can See You. Co…
An overview of the phenomenon of 'intelligence agents' and agencies (government and otherwise).
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Details: Re1—Three Kinds of Intelligence; Re2—Tell the People…
An overview of Re70–Re76.
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Details: Re70; Re71; Re72; Re73; Re74; Re75; Re76. Complete notes and video at: https://www.retraice.com/segments/re78
Air date: Su…
An overview of Re65–Re69.
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Details: Re65; Re66; Re67; Re68; Re69. Complete notes and video at: https://www.retraice.com/segments/re77
Air date: Sunday, 11th D…