Computer implemented method for the automated analysis or use of data
A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.
1. A computer-based system configured to analyse data,
(a) the computer-based system configured to store in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; in which the structured machine-readable representation of data includes one or more tenets, statements or other rules, any of which we refer to as ‘tenets’, defining objectives or motives, also represented using the structured machine-readable representation of data, the one or more tenets including one or more non-changeable tenets;
(b) the computer-based system including a planning algorithm system, the planning algorithm system configured to generate candidate actions, and to analyse the candidate actions against the tenets including the one or more non-changeable tenets, to identify optimal actions from the generated candidate actions.
2. The computer-based system of claim 1 , in which the computer-based system is configured to analyse data, to process the data using the planning algorithm system, and to express the results of the analysis in the structured, machine-readable representation of data.
3. The computer-based system of claim 1 , in which the computer-based system is configured to think ahead in terms of actions and create plans of how it can meet its motives in the future, if it is not possible to achieve with one or more actions now.
4. The computer-based system of claim 3 , in which the computer-based system is configured to think ahead using the planning algorithm system.
5. The computer-based system of claim 1 , in which the planning algorithm system includes an understanding of what actions the computer-based system can perform in what circumstances, as well as the likely consequences of performing those actions.
6. The computer-based system of claim 1 , in which the planning algorithm system provides an understanding of what external effects might occur, in a given situation, to aid with planning.
7. The computer-based system of claim 1 , in which the planning algorithm system is configured to use a forward-chaining, breadth first search algorithm.
8. The computer-based system of claim 7 , in which inputs to the forward-chaining, breadth first search algorithm are: an initial state of the environment, encoded in the structured, machine-readable representation; a set of goals, encoded in the structured, machine-readable representation; a core structured, machine-readable representation store including reasoning passages and knowledge of actions, along with their requirements and consequences.
9. The computer-based system of claim 8 , in which the forward-chaining, breadth first search algorithm is configured to:
(a) First check if the goal passages can be met using the question processor, along with the information about the current environmental state; if they can, no action is required;
(b) Fetch possible complete actions that could be executed, based on the environmental state and the requirements of the actions, including looking at known partial actions and finding valid parameters for them;
(c) With an action selected, update the environmental context based on the known consequences of that action, giving a new environmental state;
(d) Check again if the goals are met using the new state; if they are, the current selected action is a valid plan;
(e) If not, the new state and selected action are recorded as a partial plan and added to a list of states to continue looking at;
(f) These states can be looped over, following the process of (a) to (e), to calculate the environmental state after multiple actions have been executed; after each new action is added, the state is used to see if it can help infer the goals, if so that series of actions is a valid plan.
10. The computer-based system of claim 9 , in which after a valid plan has been executed, the computer-based system can select the first action from the plan and execute it for real.
11. The computer-based system of claim 9 , in which if the full consequences of the actions are known, the computer-based system is configured to execute a plurality of actions from the plan in a row, until an uncertain action or required external effect is reached.
12. The computer-based system of claim 11 , in which when an uncertain action is reached, the computer-based system is configured to perform the uncertain action then wait to see how the real environment data changes based on the uncertain action; the computer-based system then re-plans to find the next action to execute.
13. The computer-based system of claim 1 , in which the planning algorithm system includes a sub-component responsible for generating candidate actions, by working out which available actions will optimise goal-like tenets.
14. The computer-based system of claim 13 , in which after the sub-component responsible for generating candidate actions generates a candidate action that is determined should be executed, the candidate action is sent to a component of the planning algorithm system to verify the candidate action, including testing that no constraint tenet is violated.
15. The computer-based system of claim 1 , in which if a constraint tenet is violated, a candidate action is not performed.
16. The computer-based system of claim 1 , in which a candidate action is to answer a question.
17. The computer-based system of claim 1 , in which the computer-based system comprises a component which generates candidate actions; a component that decides whether to execute the candidate actions with reference to the tenets and a component which executes actions.
18. The computer-based system of claim 1 , in which the computer-based system is configured to utilise a process of automated curation to determine the value of passages stored in a passage store, to scalably maintain information represented in the structured representation of data without the need for human curation.
19. The computer-based system of claim 1 , in which the structured representation of data uses a shared syntax that applies to semantic nodes and passages that represent factual statements, query statements and reasoning statements.
20. The computer-based system of claim 1 , in which the machine-readable language is scalable since any natural language word, concept, or other thing can be represented by the structured, machine-readable representation of data.
21. The computer-based system of claim 1 , in which the computer-based system is configured to generate a reasoned, natural language explanation that a potential action does comply or does not comply with at least one constraint tenet.
22. The computer-based system of claim 1 , in which the structured, machine-readable representation of data that conforms to the machine-readable language comprises semantic nodes and passages; and in which a semantic node represents an entity and is itself represented by an identifier; and a passage is either (i) a semantic node or (ii) a combination of semantic nodes; and where machine-readable meaning comes from the choice of semantic nodes and the way they are combined and ordered as passages.
23. The computer-based system of claim 1 , in which the computer-based system does not change the tenets.
24. The computer-based system of claim 23 in which the computer-based system not changing the tenets comprises the tenets including a tenet prohibiting actions which might result in changes to the tenets.
25. The computer-based system of claim 1 , in which the computer system independently checks each potential action against the tenets and discards the potential action if the independent check finds that the potential action is incompatible with the tenets.
26. The computer-based system of claim 1 in which the tenets are at least partially represented by combinations of identifiers and where at least some of the identifiers represent concepts corresponding to real-world things.
27. The computer-based system of claim 1 in which the computer-based system actively excludes knowledge on itself from being used in determining actions.
28. The computer-based system of claim 1 in which potential actions are autonomously generated by the computer-based system.
29. The computer-based system of claim 28 in which the potential actions are automatically executed if they optimize or otherwise positively affect the achievement or realization of the tenets.
30. The computer-based system of claim 1 , the computer-based system configured to reason, in which machine-readable language is generated from other machine-readable language using reasoning steps that are represented as machine representations, such as passages, which represent the semantics of the reasoning steps.