This article considers the problem of learning the correct temporal sequence of discrete behaviors from a finite behavior set that will lead to completion of a complex task, using only stochastic reinforcement from the environment. A trial-and-error learning algorithm is proposed that is inspired by backward chaining from the animal training discipline. The procedure is analytically formulated ...

It is traditional wisdom that one should start from the goals when generating a plan in order to focus the plan generation process on potentially relevant actions. The graphplan system, however, which is the most eecient planning system nowadays, builds a \planning graph" in a forward-chaining manner. Although this strategy seems to work well, it may possibly lead to problems if the planning ta...

Sistem pakar merupakan salah satu cabang kecerdasan buatan yang mempelajari bagaimana mengadopsi cara seorang berpikir dan bernalar dalam menyelesaikan suatu permasalahan, membuat keputusan maupun mengambil kesimpulan dari sejumlah fakta ada. Sampai saat ini sudah ada beberapa hasil perkembangan sistem berbagai bidang sesuai dengan kepakaran seseorang. pada penelitian penulis ingin tentang diag...

A backward biorthogonalization approach is proposed, which modifies biorthogonal functions so as to generate orthogonal projections onto a reduced subspace. The technique is relevant to problems amenable to be represented by a general linear model. In particular, problems of data compression, noise reduction and sparse representations may be tackled by the proposed approach.