By Michael Thielscher
Man made platforms that imagine and behave intelligently are probably the most intriguing and hard ambitions of man-made Intelligence. motion Programming is the paintings and technology of devising high-level regulate options for self sufficient structures which hire a psychological version in their setting and which cause approximately their activities as a way to accomplish their ambitions. functions of this programming paradigm contain independent software program brokers, cellular robots with high-level reasoning services, and normal online game taking part in. those lecture notes supply an in-depth creation to the present state of the art in motion programming. the most issues are desk of Contents: creation / Mathematical Preliminaries / Procedural motion courses / motion courses and making plans / Declarative motion courses / Reactive motion courses / prompt extra studying
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Extra info for Action programming languages
This includes a method to specify a background theory as part of the logic program. In accordance with the branching time structure used in the semantics for GOLOG, the domain axiomatization is based on the concept of a situation. In this setting, also known as the Situation Calculus, all precondition axioms are of the simplified form Poss(A(x), s ) ≡ π A [s ] with the understanding that an action always ends in the successor situation Do(A(x), s ), so that the above is a mere abbreviation of the standard axiom Poss(A(x), s , t) ≡ π A [s ] ∧ t = Do(A(x), s ) The effects of actions are encoded by so-called successor state axioms, which are a compact form of general effect axioms under the assumption that all actions are deterministic.
Cls 48 July 5, 2008 10:2 ACTION PROGRAMMING LANGUAGES Thus the weight remains 0 if the most preferred desire is satisfied, and it becomes n + 1 if none of the desires have been achieved. & n) = 1| . . | n) = mini ω( i ω( i) i ). Given a preference specification, the association of a weight with every sequence of situations provides a straightforward measure by which plans can be compared according to the extent to which they take into account the preferences. An ideal plan leads to an overall weight of 0 for all preferences, and if we have two plans p 1 and p 2 , then one is preferred over the other just in case it determines a lower overall weight.
Cls 52 July 5, 2008 10:2 ACTION PROGRAMMING LANGUAGES As before, the solution strategy is based on the recognition of specific patterns. 3(a). For the ALP, an instance of a pattern is encoded as a list of cells, the first of which denotes the position of the catalyst peg. The way to solve a pattern can then be defined as patternSolved(P) :- member(Y,P), do(jump(X,Y,Z)), patternSolved(P). (peg(Catalyst)), empty(P). Put in words, the catalyst position is occupied while all other cells of the pattern, given in the tail list P, no longer contain a peg: empty().
Action programming languages by Michael Thielscher