Emotions are an important aspect of human behavior that should be included in cognitive models. Including them in a cognitive architecture is the safest way to ensure consistency, and to get reuse. We demonstrate here how interest, distress, and pleasure, three primary emotions shown by children when problem solving, can be implemented in a specific ACT-R (Anderson & Lebiere, 1998) model. These...

Complex problem solving is often an integration of perceptual processing and deliberate planning. But what balances these two processes, and how do novices differ from experts? We investigate the interplay between these two in the game of SET. The paper investigates how people combine bottom-up visual processes and top-down planning to succeed in this game. Using combinatorial and mixed-effect ...

Modeling crowd behavior is an important challenge for cognitive modelers. Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are close geographically or logically states, and are affected by each other’s presence and actions. Existing models of crowd behavior, in a variety of fields, leave many open challenges. In particular, psychology models ofte...

We show how a general-purpose cognitive architecture augmented with a general diagrammatic component can represent and reason about Large-scale Space. The diagrammatic component allows an agent built in this architecture to represent information both symbolically and diagrammatically as appropriate. Using examples we show (a) how the agent’s bimodal representation captures its knowledge about l...

We consider a cognitive radio network in a multi-channel licensed environment. Secondary user transmits in a channel if the channel is sensed to be vacant. This results in a tradeoff between sensing time and transmission time. When secondary users are energy constrained, energy available for transmission is less if more energy is used in sensing. This gives rise to an energy tradeoff. For multi...

In this paper, the secrecy problem in the state dependent causal cognitive interference channel is studied. The channel state is non-causally known at the cognitive encoder. The message of the cognitive encoder must be kept secret from the primary receiver. We use a coding scheme which is a combination of compress-and-forward strategy with Marton coding, Gel’fand-Pinsker coding and Wyner’s wire...

This paper explores the idea that the cognitive state during problem solving diagrams is bi-modal, one of whose components is the traditional predicate-symbolic representation composed of relations between entities in the domain of interest, while a second component is an internal diagrammatic representation. In parallel with the operators in the symbolic representation that are based on symbol...