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Explores a model of the process of generation of phonological forms. Connectionist network that generates one phoneme at a time from a fixed representation of the meaning of the word; Semantics' influence on the acquisition of adult forms; Source of children's production errors; Role of phonological form in molding children's vocabularies.

Presents a simple model of symbolic manipulation in artificial intelligence using a connectionist network called parallel distributed processing (PDP) that learned a procedure to add two multi-digit numbers. Demonstration that networks of such type can learn simple programming constructs that are not tested; Ability to process long problems; Power difference between simple recurrent networks and Fordan networks.

Presents a humorous commentary of the use of neural networks in the field of dognitive science. Utilization by dogmatists to determine to effect of neural networks on the concepts of dognitive science; Humorous types of models suggested to cognitions of dogs.

Proposes degenerative grammar (DG) as an alternative approach to generative grammar, whose approaches to the study of dog language have failed in their accounts of polysemy and the development of language comprehension. Meaning is deceptualization as the basic assumption of DG; Hypothesis that the central mold is built out of the young dog's initial experiences.

Presents a tongue-and-cheek discussion of efforts on the construction of user-friendly interfaces to computer systems. Approaches to interface design; Problems with outmoded command languages.

Presents a computer model of a competency theory on the sequential behavior of a dog. Use of randomly wired recurrent network with habituation in the weights; Boredom as the emergent property of the proposed model.

Presents a humorous suggestion of recreating the cultural atmosphere of the sixties through backpropagation in time. Allusion to the term back propagation to time travel; Artificial recreation and combination models of Jimi Hendrix and prohibited drugs in recurrent parallel distributed processing (PDP) networks.

Presents a humorous article about dog signal processing (DSP). Need for a good bark recognition; Advantage of working on bark recognition; Basis of the bark recognition system.

Investigates connectionist formalism or connectionism for modeling the dog. Extension of the model to investigate sub-primate language use; Simplification of the task of language study; Independence of the comprehension system from the generation system; Main result of the investigation.

Presents a humorous article on the fundamental problems in the philosophy of Dognitive Science. How to achieve dog breath; Computer simulation; Comparison with Sirloin's Chinese restaurant.

Focuses on the humour about human-dog relationship, as been evidenced by the attempts to make dogs more user-friendly. Why the attempts at dog-human interfaces have floundered on a basic misunderstanding of the dog; How dogs should be programmed; Dog's brain structure; Intentional behavior design of dogs.