Penyelesaian State Space Solution Dengan Neurosolver  

Oleh:

Subagio, Yeremia

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematika: Jurnal Manajemen Informatika vol. 7 no. 1 (Dec. 2005), page 13-21.
Topik: SPACE; agent; state; connection; learning; problem solver; neurosolver; neural network

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG4.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Neuromorphic distributed general problem solver method or also called from goal state to initial state and then execute them, without operator validity checking. Agent can move, communicate, and work together and also Neurosolver, tries to distribute problem to agents, where every type agent has different task but they are cooperate to solve the same problem. Neural network learns state and find solution. A problem gives to this type of agent will trace state transitions supported by neural network, which can learn and solve the problems, it is expected that state space problem will solve faster then before.

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