### Table 1 Example: discrete model of trust dynamics

2003

"... In PAGE 10: ...Jonker and Treur, 1999). In this model trust (e.g., in somebody selling special fruit offers) has three possible states (distrust, indifferent, trust). To keep complexity limited, only the current experience and the experiences two steps back in history are taken into account to determine a trust state at time point t, according to Table1 below. Table 1 Example: discrete model of trust dynamics ... ..."

Cited by 14

### Table 1 Example: discrete model of trust dynamics

2003

"... In PAGE 10: ...Jonker and Treur, 1999). In this model trust (e.g., in somebody selling special fruit offers) has three possible states (distrust, indifferent, trust). To keep complexity limited, only the current experience and the experiences two steps back in history are taken into account to determine a trust state at time point t, according to Table1 below. Table 1 Example: discrete model of trust dynamics ... ..."

Cited by 14

### Table 17: Practical Use of the Time-Discretized Model

2004

"... In PAGE 97: ... We can use this approach in practice only when the improvement time-discretized model is solvable in a reasonable amount of time. Table17 shows an example of using the time-discretized model as an improvement step of RGH. We applied the method proposed in this chapter to instance ni1.... ..."

### Table 16: Comparison of the RGH with the Time Discretized Model 2

2004

"... In PAGE 95: ... These instances involve 7 production facilities, about 200 customers, and a homogeneous fleet of 7 vehicles. Since the difference in LP GAP (%) between medium size instances (Table 15) and large size instances ( Table16 ) is not significant , we can expect that the RGH works reasonably well even with large instances. Table 16: Comparison of the RGH with the Time Discretized Model 2... ..."

### TABLE II COMPARISON OF CIRCUIT STRUCTURES OF DISCRETE MODELING TECHNIQUE

in Equivalent-Circuit Interconnect Modeling Based on The Fifth-Order Differential Quadrature Methods

### Table 1. Summary of parameters present in the discrete model. Parameter Name Meaning

2008

### Table (1) Quasi-linear discrete model parameters B, and T

### Table 1 Characteristics of Discrete Choice Models

1998

"... In PAGE 4: ...3 We also discuss the common assumptions these two logit models make about the distribution of the disturbances. We characterize the basic properties of several discrete choice models in Table1 .[Table 1 Here] Table 1 shows that multinomial logit is the most restrictive discrete choice model we discuss in this paper; it models the choice probabilities as functions only of characteristics of the individual voter, it does not allow the error terms to be correlated across choices, and it provides few answers to important political questions.... In PAGE 4: ... We characterize the basic properties of several discrete choice models in Table 1.[Table 1 Here] Table1 shows that multinomial logit is the most restrictive discrete choice model we discuss in this paper; it models the choice probabilities as functions only of characteristics of the individual voter, it does not allow the error terms to be correlated across choices, and it provides few answers to important political questions. Conditional logit, however, is less restrictive since it allows for... ..."

Cited by 17

### Table 2: Parameters of the Discrete-Time Model

2003

### Table 1 Mapping of discrete event model concepts and simulation models

1998

"... In PAGE 6: ... The network consists of 8 nodes connected by 12 links. Table1 summarises the mapping between the concepts of discrete event models from section 2, and the traffic- and dependability simulation models described in the following. 4.... ..."

Cited by 14