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Again, the matrix A(k)is the so-called system matrix of the k-th user and it is constructed from the combined impulse responses Equation 1213 It represents the effectof the comof bined impulse responses on each data symbol dik) in the data vector, d(") Each column in the matrix A indexed by n contains the combined impulse response, bik)that affects the n-th symbol of the data vector However, since the data symbols are spread by the Q-chip spreading sequences, they are transmitted Q chips apart from each other Hence the start of the combined impulse response, bik),for each column is offset by Q rows from the start of b f l l in the preceding column Therefore, the element in the [(n- 1 ) Q l]-th row and the n-th column of A(k)is the I-th element of the combined impulse response, b p ) , for 1 = 1, .

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Deconstructing the Workspace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 Working with Panels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Panel groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 The panel dock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 The panel menu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82

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Proof:

, Q W - 1 All other elements in the column are zero-valued The pictorial representation of Equation 1214 is shown in Figure 126, where Q = 4, W = 2 and N = 3 As it can be seen from the diagram, in each column of the matrix A(k) - where a box with an asterisk marks a non-zero elementthe vector bik)starts at an offset of Q = 4 rows below its preceding column, except for the first column, which starts at the first row The total number of elements in the vector bik)is ( Q W - 1) = 5 The total equals the number symbols in the data vector, of d('"), number of columns in the matrix A(k) ie N Finally, the received signal vector product, d k ) in Equation 12.

These ideas were made concrete in the subsumption architecture. There are two defining characteristics of the subsumption archtecture. The first is that an agent's decision-making is realized through a set of task-accomplishing behaviours; each behaviour may be thought of as an individual a c t i o n function, as we defined above, which continually takes perceptual input and maps it to an action to perform. Each of these behaviour modules is intended to acheve some particular task. In Brooks's implementation, the behaviour modules are finite-state machines. An important point to note is that these task-accomplishing modules are assumed to include no complex symbolic representations, and are assumed to do no symbolic reasoning at all. In many implementations, these behaviours are implemented as rules of the form situation