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The purpose of this paper is to analyze how pattern recognition can contribute to the behavioral options of a goal‐oriented system.

A functional approach is used to develop the necessary cybernetic structures of a pattern recognition unit that can store observations as new standards for pattern matching by itself and can later apply them to recognize patterns in incoming sensor data.

Combining such a structure for pattern recognition with a feedback system shows that the resulting system can only deal with known patterns. To deal with novel patterns this structure has to be added to an adaptive system that can develop system‐specific behavior. Such a system has to able to initiate a trial and error process to test new behavior towards new patterns and to evaluate its effect on the highest, existential goal‐values of the system.

A system with a pattern recognition unit that can set new standards for pattern matching by itself is identified as the point of departure where not‐programmable and unpredictable individual behavior starts. Dealing with newly‐recognized pattern requires individual behavioral solutions and a system‐specific evaluation of the achieved results in relation to the highest goal‐values of the system. Here internal “emotional” criteria to select behavior emerge as a cybernetic necessity.

The paper is the third in a series of three on a cybernetic theory distinguishing system capable of pre‐programmed adaptation, system‐specific adaptation and learning. It determines the cybernetic starting point of individual psychology.

The purpose of the paper is to analyze cybernetic necessities of output‐side attention directing systems, i.e. how systems can decide to act towards one of various inputs.

Complex pattern recognition and sequence learning systems may recognize more than one pattern and deliver more than one output at a point in time. Therefore, they require an output‐side attention directing system to decide to act towards just one pattern. The necessary cybernetic structures of such systems are analyzed using a functional approach.

An output‐side attention directing system has to evaluate the effect of current observations (patterns, sequences, etc.) on highest level goal‐values (in a living system these are existential goal‐values like a body temperature or energy supply). Measure of this effect is the degree of goal‐approximation towards these goal‐values. This measure can either be preprogrammed for some patterns or sequences, or has to be determined in trial and error processes for new patterns or sequences learned by the system.

The paper shows the cybernetic necessities of the development of the “know how” of sequence learning systems in time, starting with default behavior, via learning new patterns and sequences, and trial and error to develop goal‐orientated actions towards them, until finally the achieved results enable experience based directing of attention.

The paper shows basic cybernetic structures and functions for output‐side attention directing systems required for all complex pattern recognition and sequence learning systems.

The purpose of this paper is to analyze how sequence learning can build on pattern‐recognition systems and how it can contribute to the behavioral options of goal‐oriented systems.

A functional approach is used to develop the necessary cybernetic structures of a subsystem for sequence learning, that can recognize patterns, register patterns occurring repeatedly and connect these to sequences. Based on that it is analyzed how goal‐oriented systems can use information about reoccurring sequences.

A subsystem for sequence learning basically requires pattern recognition and it needs a structure for the directed connection of single standards for pattern matching to standards for sequences, given that it can learn both new patterns and new sequences. Such a subsystem for sequence learning may recognize a certain pattern and with that the end of a certain sequence. So it may deliver more than one output signal at a point in time, and therefore needs additionally a subsystem for directing attention.

The paper analyses the principles of an “associative” way of connecting standards for pattern matching to standards for sequences. Also it shows the cybernetic necessity of an attention directing system that has to decide how to deal with the multiple outputs of a subsystem for sequence learning, i.e. to decide to act either towards a pattern or a whole sequence.

The paper investigates basic mechanisms of sequence learning and its contribution to goal‐oriented behavior. Also, it lays the base for an analysis of attention directing systems and anticipatory systems.

The purpose of this paper is to investigate different cybernetic structures of simple adaptive systems and their cognitive and behavioral options.

Using a functional approach, two basic forms of adaptive systems are constructed, which process data on one level respectively two hierarchical levels. Based on that complex combinations of such one‐level and hierarchical structures are investigated.

It is shown how different cybernetic structures enable simple forms of adaptive behavior. A basic blueprint for the controller structure of animal species is derived from them, with a simple “brain” and a unit for “motion control” as subsystems. Four paths of evolutionary growth are identified that allow a widely independent development of these subsystems.

The paper provides a typology of simple adaptive systems and discusses the forms of behavior they can develop with preprogrammed – i.e. evolutionary given or technically programmed – decision‐rules. It discusses the requirements that these decision‐rules can form models enabling adaptive behavior. It is suggested that these requirements hold for the models of more complex adaptive systems, too.

This paper is the first in a series of three on a cybernetic theory distinguishing systems able of preprogrammed adaptation, system‐specific adaptation, and learning.

The purpose of this paper is to show how behavioral descriptions in psychology and group dynamics can be related to four goal-setting processes and to four mode of existence.

Some person A can approach a person B with an inclination to realize one of four goal-setting processes: (1) A sets goals for B; (2) A sets no own goals; (3) A pursues own goals alone; (4) A and B develop mutual goals. Depending on their choice of inclinations an interaction of A and B can lead to four modes of coexistence: (1) Conflict – A and B fight; (2) Hierarchy – A submits to B; (3) Independence in niches – A and B do not interact; (4) Cooperation – A and B work together. The paper investigates how these theoretical options – four inclinations for different goal-set processes and four modes of coexistence – show in behavioral descriptions in psychology and group dynamics.

Psychic states studied in psychology (e.g. by Freud, Berne, Horney) can be related to one of the four inclinations. Interaction patterns studied in group dynamics (e.g. by Steiner, Schindler, Bion) describe aspects of the four modes of coexistence.

Behavioral descriptions of various schools of psychology and group dynamics can be classified according to theoretically derivable basic options of goal-orientated behavior.

The paper shows the application of a theoretical framework covering all options of goal-orientated behavior available in the behavioral sciences.

The purpose of this paper is to show how individual acts of goal-setting of two persons or systems A and B determine, which modes of coexistence become possible in an interaction of the two.

Some person or system A can approach another person or system B with an inclination to realize one of four goal-setting processes: first, A sets goals for B; second, A sets no own goals; third, A pursues own goals alone; and fourth, A and B develop mutual goals. And an interaction of A and B can lead to just four modes of coexistence: first, conflict – A and B fight; second, hierarchy – A submits to B; third, independence in niches – A and B do not interact; and fourth, cooperation – A and B work together.

Placing the inclinations of A and B to realize one of the four goal-setting processes in a 4×4 matrix leads to the interaction matrix. It shows that individual goal-setting processes predetermine and limit the available modes of coexistence, i.e. cause certain patterns of interactions.

The interaction matrix can be applied to all interactions between persons, groups and social units generally.

The paper introduces a theoretical framework covering all options of goal-orientated behavior. It explains the interrelation between individual goal-setting of persons and systems and the resulting behavioral options in interactions. It is applicable to all behavioral sciences.

The paper aims to relate the four modes of coexistence of goal-orientated systems – conflict, hierarchy, the niche and cooperation – to static behavioral descriptions of social systems.

Analyzing the options for interactions of goal-orientated systems leads the four modes of coexistence. These show certain behavioral characteristics. Searching for these characteristics in selected behavioral descriptions in organizational theory, sociology, political science and system science allows relating them to certain modes.

In organizations, the four modes of coexistence show in general (Cameron and Quinn) and dyadic interaction patterns (Argyris). In sociology, they show in educational schemes preparing for specific modes (Bernstein) and in different exchange patterns (Polanyi). In political theory, the four modes of coexistence show in preferred policies of parties, in institutional development, in oligarch power politics (Winters) and in external policy. In system science, they show in problem solving strategies (Jackson) and “mindscapes” (Murayama).

The analysis is restricted to static patterns leaving out dynamic developments, for example, in networks.

Together with previous investigations, the paper shows how behavioral descriptions ranging from psychology to politics correspond to the four modes of coexistence, and it suggests interrelations and alignments of the modes via various levels of societal organization.

The four modes of coexistence provide an unequivocal theoretical framework that allows finding parallels in behavioral descriptions ranging from psychology via sociology to politics.

The paper analyzes how the goal-setting of two individuals or social units A and B determines the utilities, which the two parties can gain in a dyadic interaction.

The analysis is based on a dyadic utility space representing the utilities of A and B along the x and y axis, respectively. In this space the goal-orientation of an individual action is mapped with a vector, where its angle shows the combination of utilities of A and B aimed at, and the length corresponds to the strength of an action.

Analyzing actions of A and responses of B in the dyadic utility space allows (a) calculating single and joint utilities, (b) identifying the narrow range of equal utility for both and (c) identifying four vectors for maximizing different combinations of utility. Studying combinations of these four vectors in a 4 × 4 ‘Interaction - Utility Matrix’ shows how the goal-setting of A for a prime action widely predetermines, before a response of B, the realizable dyadic utility for both.

The dyadic utility space allows illustrating any dyadic interaction: It shows all possible dyadic “payoffs” investigated in game theory; it allows studying repeated exchange and resulting accumulation of utility; it allows mapping power relations.

The paper shows the interrelation between cybernetic principles of control, goal-orientated human behavior and the utility concept of social sciences. And it allows rejecting Adam Smith’s 18th myth of an “invisible hand”.

The purpose of this paper is to present decision making as the decisive activity of controllers, necessary to correct deviations from a goal value in controlled systems by deciding on goal‐oriented actions.

Using a functional approach it is shown how an increasing complexity of controller structures follows an increasing ability to make more complex decisions. Two applications are used to analyze that in detail: first, the controller structures necessary for Miller's living systems and for Beer's viable systems are presented in one comparable scheme. Second, a complex controller structure illustrates the basic requirements for a brain.

Analyzing necessary decisions in Beer's viable systems it is shown how the elementary decisions found in feedback systems can be used as a first approximation for decision making. Hence, it is shown how principles of decision making determine the development of complex controller structures.

The paper provides basic analytic tools to understand the interrelation between controller structures and the content of the decision these structures can make. It shows four different evolutionary paths from feedback systems towards brain structures. Also it emphasizes the role of goal values in decision making and their importance especially for social systems.

The paper seeks to present cybernetics as a science of structures that enable certain decisions. It is suggested that making explicit the goal orientation of decision making gives cybernetics an additional relevance for the social sciences.

The purpose of this study is to examine the mediating effect of an owner’s growth goal on the relationship between the gender of new venture owners and the growth outcomes of their ventures.

This is a quantitative study using a large, national database and structural equation modeling.

The findings indicate that the negative relationship between gender and growth outcomes is fully mediated by the growth goals of new venture owners, their available internal resources and the amount of time and money they are able (prepared) to invest in their new venture.

The research implications include the need to better understand the impact of goal setting on new venture performance outcomes.

The government policies (for example, to stimulate firm growth) need to be designed by having a proper understanding of the various motives/goals that entrepreneurs might have when launching a new venture. Similarly, anyone providing advice to individuals involved in establishing a new venture should, before providing that advice, ensure that they have a clear understanding of the individual’s goals.

Social implications include a need to better understand the negative impact that lower available human and financial capital can have on the goals set by female new venture owners and the outcomes achieved by those ventures.

This research makes an original contribution to the literature by demonstrating: the impact of gender on human, social and financial capital; the influence of these resources on new venture goals; and, in turn, the influence of goals on new venture performance outcomes.