This is the first in a series of papers extending the Abstract State Machine Thesis — that arbitrary algorithms are behaviorally equivalent to abstract state machines — to algorithms that can interact with their environments during a step rather than only between steps. In the present paper, we describe, by means of suitable postulates, those interactive algorithms that (1) proceed in discrete, global steps, (2) perform only a bounded amount of work in each step, (3) use only such information from the environment as can be regarded as answers to queries, and (4) never complete a step until all queries from that step have been answered. We indicate how a great many sorts of interaction meet these requirements. We also discuss in detail the structure of queries and replies and the appropriate definition of equivalence of algorithms. Finally, motivated by our considerations concerning queries, we discuss a generalization of first-order logic in which the arguments of function and relation symbols are not merely tuples of elements but orbits of such tuples under groups of permutations of the argument places.

y Abstract What is an algorithm? The interest in this foundational problem is not only theoretical; applications include specification, validation and verification of software and hardware systems. We describe the quest to understand and define the notion of algorithm. We start with the Church-Turing thesis and contrast Church's and Turing's approaches, and we finish with some recent investigations.

We capture the principal models of computation and specification in the literature by a uniform set of transparent mathematical descriptions which—starting from scratch—provide the conceptual basis for a comparative study 1. 1

Abstract. Turbo Abstract State Machines are ASMs with parallel and sequential composition and possibly recursive submachine calls. Turbo ASMs are viewed as black-boxes that can combine arbitrary many steps of one or more submachines into one big step. The intermediate steps of a turbo ASM are not observable from outside. It is not even clear what exactly the intermediate steps are, because the semantics of turbo ASMs is usually defined inductively along the call graph of the ASM and the structure of the rule bodies. The most important application of turbo ASMs are recursive algorithms. Such algorithms can directly be simulated on turbo ASMs without transforming them into multi-agent (distributed) ASMs. In this article we analyze the hidden intermediate steps of turbo ASMs and characterize them using PAR/SEQ trees. We also address the problem of the reserve in the presence of recursion and sequential composition. 1

Abstract – We study the computational model of polygraphs. For that, we consider polygraphic programs, a subclass of these objects, as a formal description of first-order functional programs. We explain their semantics and prove that they form a Turing-complete computational model. Their algebraic structure is used by analysis tools, called polygraphic interpretations, for complexity analysis. In particular, we delineate a subclass of polygraphic programs that compute exactly the functions that are Turingcomputable in polynomial time.

We establish linear lower bounds for the complexity of non-trivial, primitive recursive algorithms from piecewise linear given functions. The main corollary is that logtime algorithms for the greatest common divisor from such givens (such as Stein's) cannot be matched in e#ciency by primitive recursive algorithms from the same given functions. The question is left open for the Euclidean algorithm, which assumes the remainder function. In 1991, Colson [3] proved a remarkable theorem about the limitations of primitive recursive algorithms, which has the following consequence: Colson's Corollary. If a primitive recursive derivation of min(x, y) is expressed faithfully in a programming language, then one of the two computations min(1, 1000) and min(1000, 1) will take at least 1000 steps.

In earlier work, the Abstract State Machine Thesis — that arbitrary algorithms are behaviorally equivalent to abstract state machines — was established for several classes of algorithms, including ordinary, interactive, small-step algorithms. This was accomplished on the basis of axiomatizations of these classes of algorithms. Here we extend the axiomatization and, in a companion paper, the proof, to cover interactive small-step algorithms that are not necessarily ordinary. This means that the algorithms (1) can complete a step without necessarily waiting for replies to all queries from that step and (2) can use not only the environment’s replies but also the order in which the replies were received.

For each of the principal current models of computation and of highlevel system design, we present a uniform set of transparent easily understandable descriptions, which are faithful to the basic intuitions and concepts of the investigated systems. Our main goal is to provide a mathematical basis for the technical comparison of established models of computation which can contribute to rationalize the scientific evaluation of different system specification approaches in the literature, clarifying in detail their advantages and disadvantages. As a side effect we obtain a powerful yet simple new conceptual framework for teaching the fundamentals of computation theory. 1

Abstract. The question raised in [15] is answered how to naturally model widely used forms of recursion by abstract machines. We show that turbo ASMs as defined in [7] allow one to faithfully reflect the common intuitive single-agent understanding of recursion. The argument is illustrated by turbo ASMs for Mergesort and Quicksort. Using turbo ASMs for returning function values allows one to seamlessly integrate functional description and programming techniques into the high-level ’abstract programming ’ by state transforming ASM rules. 1

The Abstract State Machine Thesis asserts that every classical algorithm is behaviorally equivalent to an abstract state machine. This thesis has been shown to follow from three natural postulates about algorithmic computation. Here, we prove that augmenting those postulates with an additional requirement regarding basic operations implies Church’s Thesis, namely, that the only numeric functions that can be calculated by effective means are the recursive ones (which are the same, extensionally, as the Turing-computable numeric functions). In particular, this gives a natural axiomatization of Church’s Thesis, as Gödel and others suggested may be possible.